Ecoer Logo
VOTING POWER100.00%
DOWNVOTE POWER100.00%
RESOURCE CREDITS100.00%
REPUTATION PROGRESS0.00%
Net Worth
0.047USD
STEEM
0.000STEEM
SBD
0.022SBD
Effective Power
5.007SP
├── Own SP
0.629SP
└── Incoming Deleg
+4.378SP

Detailed Balance

STEEM
balance
0.000STEEM
market_balance
0.000STEEM
savings_balance
0.000STEEM
reward_steem_balance
0.000STEEM
STEEM POWER
Own SP
0.629SP
Delegated Out
0.000SP
Delegation In
4.378SP
Effective Power
5.007SP
Reward SP (pending)
0.006SP
SBD
sbd_balance
0.000SBD
sbd_conversions
0.000SBD
sbd_market_balance
0.000SBD
savings_sbd_balance
0.000SBD
reward_sbd_balance
0.022SBD
{
  "balance": "0.000 STEEM",
  "savings_balance": "0.000 STEEM",
  "reward_steem_balance": "0.000 STEEM",
  "vesting_shares": "1022.780911 VESTS",
  "delegated_vesting_shares": "0.000000 VESTS",
  "received_vesting_shares": "7120.878895 VESTS",
  "sbd_balance": "0.000 SBD",
  "savings_sbd_balance": "0.000 SBD",
  "reward_sbd_balance": "0.022 SBD",
  "conversions": []
}

Account Info

nameahily
id718599
rank1,411,395
reputation136972616
created2018-02-05T10:55:21
recovery_accountsteem
proxyNone
post_count3
comment_count0
lifetime_vote_count0
witnesses_voted_for0
last_post2018-02-05T12:47:21
last_root_post2018-02-05T12:47:21
last_vote_time2018-02-05T15:36:30
proxied_vsf_votes0, 0, 0, 0
can_vote1
voting_power0
delayed_votes0
balance0.000 STEEM
savings_balance0.000 STEEM
sbd_balance0.000 SBD
savings_sbd_balance0.000 SBD
vesting_shares1022.780911 VESTS
delegated_vesting_shares0.000000 VESTS
received_vesting_shares7120.878895 VESTS
reward_vesting_balance12.268970 VESTS
vesting_balance0.000 STEEM
vesting_withdraw_rate0.000000 VESTS
next_vesting_withdrawal1969-12-31T23:59:59
withdrawn0
to_withdraw0
withdraw_routes0
savings_withdraw_requests0
last_account_recovery1970-01-01T00:00:00
reset_accountnull
last_owner_update1970-01-01T00:00:00
last_account_update1970-01-01T00:00:00
minedNo
sbd_seconds0
sbd_last_interest_payment1970-01-01T00:00:00
savings_sbd_last_interest_payment1970-01-01T00:00:00
{
  "id": 718599,
  "name": "ahily",
  "owner": {
    "weight_threshold": 1,
    "account_auths": [],
    "key_auths": [
      [
        "STM87Kgx384aE9pKs42pcaAdnnC9zonVNdA2c8cHvBfZ47f8Gvani",
        1
      ]
    ]
  },
  "active": {
    "weight_threshold": 1,
    "account_auths": [],
    "key_auths": [
      [
        "STM6RVYLg3Wp4omLF2knycLAjGsPKPSLC12NDrto8LBrStoajxT44",
        1
      ]
    ]
  },
  "posting": {
    "weight_threshold": 1,
    "account_auths": [],
    "key_auths": [
      [
        "STM6TTQnR3U9mHrcAgx7s7b8T9aa2dPj6VK9wNc9vFP9hVuafvcCq",
        1
      ]
    ]
  },
  "memo_key": "STM6eFR4e9ergqoTpvErFqfSXnjts7EboYc7ByuPzf84GEAFYoMod",
  "json_metadata": "",
  "posting_json_metadata": "",
  "proxy": "",
  "last_owner_update": "1970-01-01T00:00:00",
  "last_account_update": "1970-01-01T00:00:00",
  "created": "2018-02-05T10:55:21",
  "mined": false,
  "recovery_account": "steem",
  "last_account_recovery": "1970-01-01T00:00:00",
  "reset_account": "null",
  "comment_count": 0,
  "lifetime_vote_count": 0,
  "post_count": 3,
  "can_vote": true,
  "voting_manabar": {
    "current_mana": "8143659806",
    "last_update_time": 1779051558
  },
  "downvote_manabar": {
    "current_mana": 2035914951,
    "last_update_time": 1779051558
  },
  "voting_power": 0,
  "balance": "0.000 STEEM",
  "savings_balance": "0.000 STEEM",
  "sbd_balance": "0.000 SBD",
  "sbd_seconds": "0",
  "sbd_seconds_last_update": "1970-01-01T00:00:00",
  "sbd_last_interest_payment": "1970-01-01T00:00:00",
  "savings_sbd_balance": "0.000 SBD",
  "savings_sbd_seconds": "0",
  "savings_sbd_seconds_last_update": "1970-01-01T00:00:00",
  "savings_sbd_last_interest_payment": "1970-01-01T00:00:00",
  "savings_withdraw_requests": 0,
  "reward_sbd_balance": "0.022 SBD",
  "reward_steem_balance": "0.000 STEEM",
  "reward_vesting_balance": "12.268970 VESTS",
  "reward_vesting_steem": "0.006 STEEM",
  "vesting_shares": "1022.780911 VESTS",
  "delegated_vesting_shares": "0.000000 VESTS",
  "received_vesting_shares": "7120.878895 VESTS",
  "vesting_withdraw_rate": "0.000000 VESTS",
  "next_vesting_withdrawal": "1969-12-31T23:59:59",
  "withdrawn": 0,
  "to_withdraw": 0,
  "withdraw_routes": 0,
  "curation_rewards": 0,
  "posting_rewards": 12,
  "proxied_vsf_votes": [
    0,
    0,
    0,
    0
  ],
  "witnesses_voted_for": 0,
  "last_post": "2018-02-05T12:47:21",
  "last_root_post": "2018-02-05T12:47:21",
  "last_vote_time": "2018-02-05T15:36:30",
  "post_bandwidth": 0,
  "pending_claimed_accounts": 0,
  "vesting_balance": "0.000 STEEM",
  "reputation": 136972616,
  "transfer_history": [],
  "market_history": [],
  "post_history": [],
  "vote_history": [],
  "other_history": [],
  "witness_votes": [],
  "tags_usage": [],
  "guest_bloggers": [],
  "rank": 1411395
}

Withdraw Routes

IncomingOutgoing
Empty
Empty
{
  "incoming": [],
  "outgoing": []
}
From Date
To Date
steemdelegated 4.378 SP to @ahily
2026/05/17 20:59:18
delegateeahily
delegatorsteem
vesting shares7120.878895 VESTS
Transaction InfoBlock #106139546/Trx 78461502dbb16f441977f8ebe0fa7d5de684da34
View Raw JSON Data
{
  "block": 106139546,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "7120.878895 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2026-05-17T20:59:18",
  "trx_id": "78461502dbb16f441977f8ebe0fa7d5de684da34",
  "trx_in_block": 0,
  "virtual_op": 0
}
steemdelegated 2.710 SP to @ahily
2026/05/11 16:40:51
delegateeahily
delegatorsteem
vesting shares4408.668490 VESTS
Transaction InfoBlock #105962358/Trx eb2476b1a4fe2dd368889a0b80dff4c54a4f6185
View Raw JSON Data
{
  "block": 105962358,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "4408.668490 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2026-05-11T16:40:51",
  "trx_id": "eb2476b1a4fe2dd368889a0b80dff4c54a4f6185",
  "trx_in_block": 2,
  "virtual_op": 0
}
steemdelegated 4.386 SP to @ahily
2026/04/25 20:25:12
delegateeahily
delegatorsteem
vesting shares7133.394651 VESTS
Transaction InfoBlock #105507290/Trx c8dd36f5d1158f7b95220e41bd5287f78e21fc9e
View Raw JSON Data
{
  "block": 105507290,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "7133.394651 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2026-04-25T20:25:12",
  "trx_id": "c8dd36f5d1158f7b95220e41bd5287f78e21fc9e",
  "trx_in_block": 0,
  "virtual_op": 0
}
steemdelegated 2.736 SP to @ahily
2026/01/22 23:03:51
delegateeahily
delegatorsteem
vesting shares4450.215309 VESTS
Transaction InfoBlock #102841348/Trx 2c66fa9abd2f5d46d18d9712b41a7d7d9c1bdf3a
View Raw JSON Data
{
  "block": 102841348,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "4450.215309 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2026-01-22T23:03:51",
  "trx_id": "2c66fa9abd2f5d46d18d9712b41a7d7d9c1bdf3a",
  "trx_in_block": 0,
  "virtual_op": 0
}
steemdelegated 2.837 SP to @ahily
2024/12/16 18:24:57
delegateeahily
delegatorsteem
vesting shares4614.434506 VESTS
Transaction InfoBlock #91287795/Trx 3204fa7c2e8e3762669c84ef514178ec5ec6246d
View Raw JSON Data
{
  "block": 91287795,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "4614.434506 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2024-12-16T18:24:57",
  "trx_id": "3204fa7c2e8e3762669c84ef514178ec5ec6246d",
  "trx_in_block": 2,
  "virtual_op": 0
}
steemdelegated 2.941 SP to @ahily
2023/11/13 10:11:09
delegateeahily
delegatorsteem
vesting shares4783.568038 VESTS
Transaction InfoBlock #79842081/Trx 6af686eafaec028b1165d6d7b94608617027995d
View Raw JSON Data
{
  "block": 79842081,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "4783.568038 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2023-11-13T10:11:09",
  "trx_id": "6af686eafaec028b1165d6d7b94608617027995d",
  "trx_in_block": 0,
  "virtual_op": 0
}
steemdelegated 4.747 SP to @ahily
2023/09/21 17:59:06
delegateeahily
delegatorsteem
vesting shares7720.846824 VESTS
Transaction InfoBlock #78343234/Trx 969941058e3321394e7f19c537e2c3d650f486b2
View Raw JSON Data
{
  "block": 78343234,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "7720.846824 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2023-09-21T17:59:06",
  "trx_id": "969941058e3321394e7f19c537e2c3d650f486b2",
  "trx_in_block": 2,
  "virtual_op": 0
}
steemdelegated 4.883 SP to @ahily
2022/11/03 08:14:03
delegateeahily
delegatorsteem
vesting shares7942.528262 VESTS
Transaction InfoBlock #69109115/Trx e46a0885a79cc7d6c5bdf47009e2259de5602b62
View Raw JSON Data
{
  "block": 69109115,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "7942.528262 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2022-11-03T08:14:03",
  "trx_id": "e46a0885a79cc7d6c5bdf47009e2259de5602b62",
  "trx_in_block": 2,
  "virtual_op": 0
}
steemdelegated 5.019 SP to @ahily
2022/01/17 07:48:54
delegateeahily
delegatorsteem
vesting shares8163.061493 VESTS
Transaction InfoBlock #60805667/Trx 2e8770f04ccc2059465d43304bad4ee4fb8345a7
View Raw JSON Data
{
  "block": 60805667,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "8163.061493 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2022-01-17T07:48:54",
  "trx_id": "2e8770f04ccc2059465d43304bad4ee4fb8345a7",
  "trx_in_block": 54,
  "virtual_op": 0
}
steemdelegated 5.132 SP to @ahily
2021/06/13 21:52:03
delegateeahily
delegatorsteem
vesting shares8346.830151 VESTS
Transaction InfoBlock #54604215/Trx 9c2efc503579b76b462940dd0cd7cd165d258113
View Raw JSON Data
{
  "block": 54604215,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "8346.830151 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2021-06-13T21:52:03",
  "trx_id": "9c2efc503579b76b462940dd0cd7cd165d258113",
  "trx_in_block": 0,
  "virtual_op": 0
}
steemdelegated 5.247 SP to @ahily
2020/12/11 08:15:18
delegateeahily
delegatorsteem
vesting shares8534.252125 VESTS
Transaction InfoBlock #49351798/Trx 97f4c7a31bd31a2e708f0e5c6c02d75eac0fcc79
View Raw JSON Data
{
  "block": 49351798,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "8534.252125 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2020-12-11T08:15:18",
  "trx_id": "97f4c7a31bd31a2e708f0e5c6c02d75eac0fcc79",
  "trx_in_block": 7,
  "virtual_op": 0
}
steemdelegated 1.176 SP to @ahily
2020/12/06 01:52:42
delegateeahily
delegatorsteem
vesting shares1912.543513 VESTS
Transaction InfoBlock #49203367/Trx c7e0a0d3bb6be8db362608cbf5299934ddd2a5eb
View Raw JSON Data
{
  "block": 49203367,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "1912.543513 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2020-12-06T01:52:42",
  "trx_id": "c7e0a0d3bb6be8db362608cbf5299934ddd2a5eb",
  "trx_in_block": 5,
  "virtual_op": 0
}
steemdelegated 5.257 SP to @ahily
2020/11/25 14:47:00
delegateeahily
delegatorsteem
vesting shares8551.378742 VESTS
Transaction InfoBlock #48906491/Trx 1b0e7f000a6266de54987ea5ea4a4a87ab032f1b
View Raw JSON Data
{
  "block": 48906491,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "8551.378742 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2020-11-25T14:47:00",
  "trx_id": "1b0e7f000a6266de54987ea5ea4a4a87ab032f1b",
  "trx_in_block": 1,
  "virtual_op": 0
}
steemdelegated 5.375 SP to @ahily
2020/05/09 02:47:21
delegateeahily
delegatorsteem
vesting shares8743.265338 VESTS
Transaction InfoBlock #43213579/Trx 30a0f5845d76b6ab28284450f1b454cfaf06b05d
View Raw JSON Data
{
  "block": 43213579,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "8743.265338 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2020-05-09T02:47:21",
  "trx_id": "30a0f5845d76b6ab28284450f1b454cfaf06b05d",
  "trx_in_block": 3,
  "virtual_op": 0
}
steemdelegated 1.201 SP to @ahily
2020/05/08 05:56:18
delegateeahily
delegatorsteem
vesting shares1953.311140 VESTS
Transaction InfoBlock #43189142/Trx 9108384504cc71732b3129692615672a0f191059
View Raw JSON Data
{
  "block": 43189142,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "1953.311140 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2020-05-08T05:56:18",
  "trx_id": "9108384504cc71732b3129692615672a0f191059",
  "trx_in_block": 13,
  "virtual_op": 0
}
steemdelegated 5.383 SP to @ahily
2020/04/15 17:25:39
delegateeahily
delegatorsteem
vesting shares8756.300355 VESTS
Transaction InfoBlock #42557699/Trx 9d1b66ad4d2eb0d3fa6bef1865fbedf72110142c
View Raw JSON Data
{
  "block": 42557699,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "8756.300355 VESTS"
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2020-04-15T17:25:39",
  "trx_id": "9d1b66ad4d2eb0d3fa6bef1865fbedf72110142c",
  "trx_in_block": 24,
  "virtual_op": 0
}
2020/02/05 13:03:00
authorsteemitboard
bodyCongratulations @ahily! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@ahily/birthday2.png</td><td>Happy Birthday! - You are on the Steem blockchain for 2 years!</td></tr></table> <sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@ahily) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=ahily)_</sub> **Do not miss the last post from @steemitboard:** <table><tr><td><a href="https://steemit.com/steemitboard/@steemitboard/steemitboard-ranking-update-a-better-rich-list-comparator"><img src="https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmfRVpHQhLDhnjDtqck8GPv9NPvNKPfMsDaAFDE1D9Er2Z/header_ranking.png"></a></td><td><a href="https://steemit.com/steemitboard/@steemitboard/steemitboard-ranking-update-a-better-rich-list-comparator">SteemitBoard Ranking update - A better rich list comparator</a></td></tr></table> ###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!
json metadata{"image":["https://steemitboard.com/img/notify.png"]}
parent authorahily
parent permlinkscientists-pinpoint-the-singularity-for-quantum-computers
permlinksteemitboard-notify-ahily-20200205t130259000z
title
Transaction InfoBlock #40553963/Trx b4b676d162e14538abcc99d80ff7dbdab8bd6f22
View Raw JSON Data
{
  "block": 40553963,
  "op": [
    "comment",
    {
      "author": "steemitboard",
      "body": "Congratulations @ahily! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@ahily/birthday2.png</td><td>Happy Birthday! - You are on the Steem blockchain for 2 years!</td></tr></table>\n\n<sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@ahily) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=ahily)_</sub>\n\n\n**Do not miss the last post from @steemitboard:**\n<table><tr><td><a href=\"https://steemit.com/steemitboard/@steemitboard/steemitboard-ranking-update-a-better-rich-list-comparator\"><img src=\"https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmfRVpHQhLDhnjDtqck8GPv9NPvNKPfMsDaAFDE1D9Er2Z/header_ranking.png\"></a></td><td><a href=\"https://steemit.com/steemitboard/@steemitboard/steemitboard-ranking-update-a-better-rich-list-comparator\">SteemitBoard Ranking update - A better rich list comparator</a></td></tr></table>\n\n###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!",
      "json_metadata": "{\"image\":[\"https://steemitboard.com/img/notify.png\"]}",
      "parent_author": "ahily",
      "parent_permlink": "scientists-pinpoint-the-singularity-for-quantum-computers",
      "permlink": "steemitboard-notify-ahily-20200205t130259000z",
      "title": ""
    }
  ],
  "op_in_trx": 0,
  "timestamp": "2020-02-05T13:03:00",
  "trx_id": "b4b676d162e14538abcc99d80ff7dbdab8bd6f22",
  "trx_in_block": 9,
  "virtual_op": 0
}
steemdelegated 5.504 SP to @ahily
2019/05/12 10:58:21
delegateeahily
delegatorsteem
vesting shares8951.922822 VESTS
Transaction InfoBlock #32840770/Trx e6209878d29db85b990290cfd3359b666ef4b5b5
View Raw JSON Data
{
  "block": 32840770,
  "op": [
    "delegate_vesting_shares",
    {
      "delegatee": "ahily",
      "delegator": "steem",
      "vesting_shares": "8951.922822 VESTS"
    }
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2019/02/05 13:04:15
authorsteemitboard
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2018/08/01 17:59:12
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memoHi, it looks like you're not voting for any witnesses. Witnesses help secure the Steem network. You should vote for some, at https://steemit.com/~witnesses, or by pressing 'Vote for witnesses' in the Steemit sidebar (top right corner). I'm a bot.
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smitopblockchain operation: transfer from savings
2018/08/01 17:57:36
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memoHi, it looks like you're not voting for any witnesses. Witnesses help secure the Steem network. You should vote for some, at https://steemit.com/~witnesses, or by pressing 'Vote for witnesses' in the Steemit sidebar (top right corner). I'm a bot.
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smitopblockchain operation: transfer from savings
2018/08/01 17:56:39
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2018/02/12 12:47:21
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2018/02/07 12:31:27
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ahilyupvoted (100.00%) @jerrybanfield / mr7z0qvr
2018/02/05 12:50:57
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2018/02/05 12:50:03
authorcheetah
bodyHi! I am a robot. I just upvoted you! I found similar content that readers might be interested in: https://www.sciencedaily.com/releases/2017/10/171003093931.htm
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2018/02/05 12:49:54
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2018/02/05 12:47:21
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2018/02/05 12:47:21
authorahily
bodyResearchers from the University of Bristol have discovered that super-powerful quantum computers, which scientists and engineers across the world are racing to build, need to be even more powerful than previously thought before they can beat today's ordinary PCs. Quantum computers are a new type of machine that operate on quantum mechanical hardware and are predicted to give enormous speed advantages in solving certain problems. Research groups at leading universities and companies, including Google, Microsoft and IBM, are part of a worldwide race to realise the first quantum computer that crosses into the 'quantum computational singularity'. This represents a problem so complex that today's top supercomputer would take centuries to find a solution, while a quantum computer could crack it in minutes. Now a team of scientists from Bristol have discovered that the boundary to this singularity is further away than previously thought. The research is reported this week in Nature Physics. The results apply to a highly influential quantum algorithm known as 'boson sampling', which was devised as a very direct route to demonstrate quantum computing's supremacy over classical machines. The boson sampling problem is designed to be solved by photons (particles of light) controlled in optical chips -- technology pioneered by Bristol's Quantum Engineering and Technology Labs (QETLabs). Predicting the pattern of many photons emerging from a large optical chip is related to an extremely hard random matrix calculation. With the rapid progress in quantum technologies, it appeared as though a boson sampling experiment that crossed into the quantum computational singularity was within reach. However, the Bristol team were able to redesign an old classical algorithm to simulate boson sampling, with dramatic consequences. Dr Anthony Laing, who heads a group in QETLabs and led this research, said: "It's like tuning up an old propeller aeroplane to go faster than an early jet aircraft. "We're at a moment in history where it is still possible for classical algorithms to outperform the quantum algorithms that we expect to ultimately be supersonic. "But demonstrating such a feat meant assembling a crack team of scientists, mathematicians, and programmers." Classical algorithms expert Dr Raphaël Clifford, from Bristol's Department of Computer Science, redesigned several classical algorithms to attack the boson sampling problem, with the 1950's Metropolised Independence Sampling algorithm giving the best performance. The simulation code was optimised by QETLabs researcher 'EJ', a former LucasArts programmer. Expertise on computational complexity came from Dr Ashley Montanaro, of Bristol's School of Mathematics, while QETLabs students Chris Sparrow and Patrick Birchall worked out the projected performance of the competing quantum photonics technology. At the heart of the project and bringing all these strands together was QETLabs PhD student and first author on the paper, Alex Neville, who tested, implemented, compared, and analysed, all of the algorithms. He said: "The largest boson sampling experiment reported so far is for five photons. "It was believed that 30 or even 20 photons would be enough to demonstrate quantum computational supremacy." Yet he was able to simulate boson sampling for 20 photons on his own laptop, and increased the simulation size to 30 photons by using departmental servers. Alex added: "With access to today's most powerful supercomputer, we could simulate boson sampling with 50 photons." The research builds on Bristol's reputation as a centre of activity for quantum science and the development of quantum technologies. Through QETLabs, the university has embarked on an ambitious programme to bring quantum technologies out of the laboratory and engineer them in to useful devices that have real-world applications for tackling some of society's toughest problems. In addition to collaborations with tech companies such as Microsoft, Google, and Nokia, start-ups and new business activities focused on quantum technologies have emerged in Bristol. An important theme across the overall quantum research activity is developing our understanding of exactly how quantum technologies can provably outperform conventional computers. Recently Dr Montanaro, together with Professor Noah Linden of the School of Mathematics, organised a Heilbronn Focused Research Group on the topic of quantum computational supremacy. This meeting brought some of the world leaders in the field, from both industry and academia, to Bristol for a week of intense discussions and collaboration. Among the attendees was one of the theorists who devised boson sampling, Professor Scott Aaronson, from UT Austin. Although outperforming classical computers might take a little longer than originally hoped, Dr Laing is still optimistic about the prospects for building a device to do just that. He said: "We now have a solid idea of the technological challenge we must meet to demonstrate that quantum machines can out-compute their classical counterparts. For boson sampling, the singularity lies just beyond 50 photons. It's a tougher nut to crack than we first thought, but we still fancy our chances." With Dr Laing's group focused on practical applications of quantum technologies, the current work puts bounds on the size and sophistication of photonic devices that will be required to tackle industrially relevant problems that are beyond the capabilities of today's classical algorithms. ![171003093931_1_540x360.jpg](https://steemitimages.com/DQmZAjb4zTpReHX2W7ykFhMdZRtpomyfyizXELAyAirc7hg/171003093931_1_540x360.jpg)
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      "body": "Researchers from the University of Bristol have discovered that super-powerful quantum computers, which scientists and engineers across the world are racing to build, need to be even more powerful than previously thought before they can beat today's ordinary PCs.\n\nQuantum computers are a new type of machine that operate on quantum mechanical hardware and are predicted to give enormous speed advantages in solving certain problems.\n\nResearch groups at leading universities and companies, including Google, Microsoft and IBM, are part of a worldwide race to realise the first quantum computer that crosses into the 'quantum computational singularity'. This represents a problem so complex that today's top supercomputer would take centuries to find a solution, while a quantum computer could crack it in minutes.\n\nNow a team of scientists from Bristol have discovered that the boundary to this singularity is further away than previously thought. The research is reported this week in Nature Physics.\n\nThe results apply to a highly influential quantum algorithm known as 'boson sampling', which was devised as a very direct route to demonstrate quantum computing's supremacy over classical machines.\n\nThe boson sampling problem is designed to be solved by photons (particles of light) controlled in optical chips -- technology pioneered by Bristol's Quantum Engineering and Technology Labs (QETLabs).\n\nPredicting the pattern of many photons emerging from a large optical chip is related to an extremely hard random matrix calculation.\n\nWith the rapid progress in quantum technologies, it appeared as though a boson sampling experiment that crossed into the quantum computational singularity was within reach. However, the Bristol team were able to redesign an old classical algorithm to simulate boson sampling, with dramatic consequences.\n\nDr Anthony Laing, who heads a group in QETLabs and led this research, said: \"It's like tuning up an old propeller aeroplane to go faster than an early jet aircraft.\n\n\"We're at a moment in history where it is still possible for classical algorithms to outperform the quantum algorithms that we expect to ultimately be supersonic.\n\n\"But demonstrating such a feat meant assembling a crack team of scientists, mathematicians, and programmers.\"\n\nClassical algorithms expert Dr Raphaël Clifford, from Bristol's Department of Computer Science, redesigned several classical algorithms to attack the boson sampling problem, with the 1950's Metropolised Independence Sampling algorithm giving the best performance.\n\nThe simulation code was optimised by QETLabs researcher 'EJ', a former LucasArts programmer. Expertise on computational complexity came from Dr Ashley Montanaro, of Bristol's School of Mathematics, while QETLabs students Chris Sparrow and Patrick Birchall worked out the projected performance of the competing quantum photonics technology.\n\nAt the heart of the project and bringing all these strands together was QETLabs PhD student and first author on the paper, Alex Neville, who tested, implemented, compared, and analysed, all of the algorithms.\n\nHe said: \"The largest boson sampling experiment reported so far is for five photons.\n\n\"It was believed that 30 or even 20 photons would be enough to demonstrate quantum computational supremacy.\"\n\nYet he was able to simulate boson sampling for 20 photons on his own laptop, and increased the simulation size to 30 photons by using departmental servers. Alex added: \"With access to today's most powerful supercomputer, we could simulate boson sampling with 50 photons.\"\n\nThe research builds on Bristol's reputation as a centre of activity for quantum science and the development of quantum technologies.\n\nThrough QETLabs, the university has embarked on an ambitious programme to bring quantum technologies out of the laboratory and engineer them in to useful devices that have real-world applications for tackling some of society's toughest problems.\n\nIn addition to collaborations with tech companies such as Microsoft, Google, and Nokia, start-ups and new business activities focused on quantum technologies have emerged in Bristol.\n\nAn important theme across the overall quantum research activity is developing our understanding of exactly how quantum technologies can provably outperform conventional computers.\n\nRecently Dr Montanaro, together with Professor Noah Linden of the School of Mathematics, organised a Heilbronn Focused Research Group on the topic of quantum computational supremacy.\n\nThis meeting brought some of the world leaders in the field, from both industry and academia, to Bristol for a week of intense discussions and collaboration. Among the attendees was one of the theorists who devised boson sampling, Professor Scott Aaronson, from UT Austin.\n\nAlthough outperforming classical computers might take a little longer than originally hoped, Dr Laing is still optimistic about the prospects for building a device to do just that. He said: \"We now have a solid idea of the technological challenge we must meet to demonstrate that quantum machines can out-compute their classical counterparts. For boson sampling, the singularity lies just beyond 50 photons. It's a tougher nut to crack than we first thought, but we still fancy our chances.\"\n\nWith Dr Laing's group focused on practical applications of quantum technologies, the current work puts bounds on the size and sophistication of photonic devices that will be required to tackle industrially relevant problems that are beyond the capabilities of today's classical algorithms.\n\n![171003093931_1_540x360.jpg](https://steemitimages.com/DQmZAjb4zTpReHX2W7ykFhMdZRtpomyfyizXELAyAirc7hg/171003093931_1_540x360.jpg)",
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2018/02/05 12:41:51
authorcheetah
bodyHi! I am a robot. I just upvoted you! I found similar content that readers might be interested in: https://med.stanford.edu/news/all-news/2018/01/cancer-vaccine-eliminates-tumors-in-mice.html
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2018/02/05 12:41:42
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2018/02/05 12:39:00
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2018/02/05 12:39:00
authorahily
bodyInjecting minute amounts of two immune-stimulating agents directly into solid tumors in mice can eliminate all traces of cancer in the animals, including distant, untreated metastases, according to a study by researchers at the Stanford University School of Medicine. The approach works for many different types of cancers, including those that arise spontaneously, the study found. The researchers believe the local application of very small amounts of the agents could serve as a rapid and relatively inexpensive cancer therapy that is unlikely to cause the adverse side effects often seen with bodywide immune stimulation. "When we use these two agents together, we see the elimination of tumors all over the body," said Ronald Levy, MD, professor of oncology. "This approach bypasses the need to identify tumor-specific immune targets and doesn't require wholesale activation of the immune system or customization of a patient's immune cells." One agent is currently already approved for use in humans; the other has been tested for human use in several unrelated clinical trials. A clinical trial was launched in January to test the effect of the treatment in patients with lymphoma. Levy, who holds the Robert K. and Helen K. Summy Professorship in the School of Medicine, is the senior author of the study, which will be published Jan. 31 in Science Translational Medicine. Instructor of medicine Idit Sagiv-Barfi, PhD, is the lead author. 'Amazing, bodywide effects' Levy is a pioneer in the field of cancer immunotherapy, in which researchers try to harness the immune system to combat cancer. Research in his laboratory led to the development of rituximab, one of the first monoclonal antibodies approved for use as an anticancer treatment in humans. Some immunotherapy approaches rely on stimulating the immune system throughout the body. Others target naturally occurring checkpoints that limit the anti-cancer activity of immune cells. Still others, like the CAR T-cell therapy recently approved to treat some types of leukemia and lymphomas, require a patient's immune cells to be removed from the body and genetically engineered to attack the tumor cells. Many of these approaches have been successful, but they each have downsides -- from difficult-to-handle side effects to high-cost and lengthy preparation or treatment times. "All of these immunotherapy advances are changing medical practice," Levy said. "Our approach uses a one-time application of very small amounts of two agents to stimulate the immune cells only within the tumor itself. In the mice, we saw amazing, bodywide effects, including the elimination of tumors all over the animal." Cancers often exist in a strange kind of limbo with regard to the immune system. Immune cells like T cells recognize the abnormal proteins often present on cancer cells and infiltrate to attack the tumor. However, as the tumor grows, it often devises ways to suppress the activity of the T cells. Levy's method works to reactivate the cancer-specific T cells by injecting microgram amounts of two agents directly into the tumor site. (A microgram is one-millionth of a gram). One, a short stretch of DNA called a CpG oligonucleotide, works with other nearby immune cells to amplify the expression of an activating receptor called OX40 on the surface of the T cells. The other, an antibody that binds to OX40, activates the T cells to lead the charge against the cancer cells. Because the two agents are injected directly into the tumor, only T cells that have infiltrated it are activated. In effect, these T cells are "prescreened" by the body to recognize only cancer-specific proteins. Cancer-destroying rangers Some of these tumor-specific, activated T cells then leave the original tumor to find and destroy other identical tumors throughout the body. The approach worked startlingly well in laboratory mice with transplanted mouse lymphoma tumors in two sites on their bodies. Injecting one tumor site with the two agents caused the regression not just of the treated tumor, but also of the second, untreated tumor. In this way, 87 of 90 mice were cured of the cancer. Although the cancer recurred in three of the mice, the tumors again regressed after a second treatment. The researchers saw similar results in mice bearing breast, colon and melanoma tumors. Mice genetically engineered to spontaneously develop breast cancers in all 10 of their mammary pads also responded to the treatment. Treating the first tumor that arose often prevented the occurrence of future tumors and significantly increased the animals' life span, the researchers found. Finally, Sagiv-Barfi explored the specificity of the T cells by transplanting two types of tumors into the mice. She transplanted the same lymphoma cancer cells in two locations, and she transplanted a colon cancer cell line in a third location. Treatment of one of the lymphoma sites caused the regression of both lymphoma tumors but did not affect the growth of the colon cancer cells. "This is a very targeted approach," Levy said. "Only the tumor that shares the protein targets displayed by the treated site is affected. We're attacking specific targets without having to identify exactly what proteins the T cells are recognizing." The current clinical trial is expected to recruit about 15 patients with low-grade lymphoma. If successful, Levy believes the treatment could be useful for many tumor types. He envisions a future in which clinicians inject the two agents into solid tumors in humans prior to surgical removal of the cancer as a way to prevent recurrence due to unidentified metastases or lingering cancer cells, or even to head off the development of future tumors that arise due to genetic mutations like BRCA1 and 2. "I don't think there's a limit to the type of tumor we could potentially treat, as long as it has been infiltrated by the immune system," Levy said. The work is an example of Stanford Medicine's focus on precision health, the goal of which is to anticipate and prevent disease in the healthy and precisely diagnose and treat disease in the ill.
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      "body": "Injecting minute amounts of two immune-stimulating agents directly into solid tumors in mice can eliminate all traces of cancer in the animals, including distant, untreated metastases, according to a study by researchers at the Stanford University School of Medicine.\n\nThe approach works for many different types of cancers, including those that arise spontaneously, the study found.\n\nThe researchers believe the local application of very small amounts of the agents could serve as a rapid and relatively inexpensive cancer therapy that is unlikely to cause the adverse side effects often seen with bodywide immune stimulation.\n\n\"When we use these two agents together, we see the elimination of tumors all over the body,\" said Ronald Levy, MD, professor of oncology. \"This approach bypasses the need to identify tumor-specific immune targets and doesn't require wholesale activation of the immune system or customization of a patient's immune cells.\"\n\nOne agent is currently already approved for use in humans; the other has been tested for human use in several unrelated clinical trials. A clinical trial was launched in January to test the effect of the treatment in patients with lymphoma.\n\nLevy, who holds the Robert K. and Helen K. Summy Professorship in the School of Medicine, is the senior author of the study, which will be published Jan. 31 in Science Translational Medicine. Instructor of medicine Idit Sagiv-Barfi, PhD, is the lead author.\n\n'Amazing, bodywide effects'\n\nLevy is a pioneer in the field of cancer immunotherapy, in which researchers try to harness the immune system to combat cancer. Research in his laboratory led to the development of rituximab, one of the first monoclonal antibodies approved for use as an anticancer treatment in humans.\n\nSome immunotherapy approaches rely on stimulating the immune system throughout the body. Others target naturally occurring checkpoints that limit the anti-cancer activity of immune cells. Still others, like the CAR T-cell therapy recently approved to treat some types of leukemia and lymphomas, require a patient's immune cells to be removed from the body and genetically engineered to attack the tumor cells. Many of these approaches have been successful, but they each have downsides -- from difficult-to-handle side effects to high-cost and lengthy preparation or treatment times.\n\n\"All of these immunotherapy advances are changing medical practice,\" Levy said. \"Our approach uses a one-time application of very small amounts of two agents to stimulate the immune cells only within the tumor itself. In the mice, we saw amazing, bodywide effects, including the elimination of tumors all over the animal.\"\n\nCancers often exist in a strange kind of limbo with regard to the immune system. Immune cells like T cells recognize the abnormal proteins often present on cancer cells and infiltrate to attack the tumor. However, as the tumor grows, it often devises ways to suppress the activity of the T cells.\n\nLevy's method works to reactivate the cancer-specific T cells by injecting microgram amounts of two agents directly into the tumor site. (A microgram is one-millionth of a gram). One, a short stretch of DNA called a CpG oligonucleotide, works with other nearby immune cells to amplify the expression of an activating receptor called OX40 on the surface of the T cells. The other, an antibody that binds to OX40, activates the T cells to lead the charge against the cancer cells. Because the two agents are injected directly into the tumor, only T cells that have infiltrated it are activated. In effect, these T cells are \"prescreened\" by the body to recognize only cancer-specific proteins.\n\nCancer-destroying rangers\n\nSome of these tumor-specific, activated T cells then leave the original tumor to find and destroy other identical tumors throughout the body.\n\nThe approach worked startlingly well in laboratory mice with transplanted mouse lymphoma tumors in two sites on their bodies. Injecting one tumor site with the two agents caused the regression not just of the treated tumor, but also of the second, untreated tumor. In this way, 87 of 90 mice were cured of the cancer. Although the cancer recurred in three of the mice, the tumors again regressed after a second treatment. The researchers saw similar results in mice bearing breast, colon and melanoma tumors.\n\nMice genetically engineered to spontaneously develop breast cancers in all 10 of their mammary pads also responded to the treatment. Treating the first tumor that arose often prevented the occurrence of future tumors and significantly increased the animals' life span, the researchers found.\n\nFinally, Sagiv-Barfi explored the specificity of the T cells by transplanting two types of tumors into the mice. She transplanted the same lymphoma cancer cells in two locations, and she transplanted a colon cancer cell line in a third location. Treatment of one of the lymphoma sites caused the regression of both lymphoma tumors but did not affect the growth of the colon cancer cells.\n\n\"This is a very targeted approach,\" Levy said. \"Only the tumor that shares the protein targets displayed by the treated site is affected. We're attacking specific targets without having to identify exactly what proteins the T cells are recognizing.\"\n\nThe current clinical trial is expected to recruit about 15 patients with low-grade lymphoma. If successful, Levy believes the treatment could be useful for many tumor types. 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2018/02/05 12:34:24
authorcheetah
bodyHi! I am a robot. I just upvoted you! I found similar content that readers might be interested in: https://www.news-medical.net/news/20180201/New-technique-enables-3D-printing-of-living-cells.aspx
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2018/02/05 12:32:45
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ahilyupvoted (100.00%) @ahily / 3d-printing-of-cells
2018/02/05 12:32:12
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ahilypublished a new post: 3d-printing-of-cells
2018/02/05 12:32:12
authorahily
bodyUsing a new technique they call 'in-air microfluidics', University of Twente scientists succeed in printing 3D structures with living cells. This special technique enable the fast and 'in-flight' production of micro building blocks that are viable and can be used for repairing damaged tissue, for example. Microfluidics is all about manipulating tiny drops of fluid with sizes between a micrometer and a millimeter. Most often, chips with tiny fluidic channels, reactors and other components are used for this: lab-on-a-chip systems. Although these chips offer a broad range of possibilities, in producing emulsions for example -- droplets carrying another substance -- the speed at which droplets leave the chip is typically in the microliter per minute range. For clinical and industrial applications, this is not fast enough: filling a volume of a cubic centimeter would take about 1000 minutes or 17 hours. The technique that is presented now, does this in a couple of minutes. Impact of jets Can we reach these higher speeds by not manipulating the fluids in microchannels, but in the air instead? This was one of the questions the researchers wanted to answer. And indeed it was possible, by using two 'jets' of fluid. From one jet, droplets are shot at the other jet. Creating the jets is relatively simple, and they move 100 to 1000 times faster than droplets from a microchip. Speed is not the only advantage. By choosing jets containing different types of fluids that react, the collision results in new materials. Smart combinations of fluids will result in solid and printable building blocks in one single step. Printing tissue In this way, it is possible to capture a living cell inside printable material. The resulting bio building blocks are printed in a 3D structure that looks like a sponge, filled with cells and fluid. These 3D modular biomaterials have an internal structure that is quite similar to that of natural tissue. Many 3D printing techniques are based on using heat or UV light: both would damage living cells. The new microfluidic approach is therefore a promising technique in tissue engineering, in which damaged tissue is repaired by using cultured cell material of the patient. The research has been done by Tom Kamperman of the Developmental BioEngineering group of Prof Marcel Karperien, and by Claas Willem Visser of the Physics of Fluids group of Prof Detlef Lohse. Kamperman just recently finished his PhD on this subject, Claas Willem Visser temporarily works as a scientist at Harvard University on a Rubicon grant. He will return to the University of Twente afterwards and become an assistant professor. Both scientists are involved in the new IamFluidics spinoff, in which in-air microfluidics is used to create functional particles and materials. There is a video on https://vimeo.com/253422847 ![180201092233_1_900x600.jpg](https://steemitimages.com/DQmZQeKXqxbbTu3cEJ4o9aLMcf9ZougioH9vBoPjp3hupqH/180201092233_1_900x600.jpg)
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      "author": "ahily",
      "body": "Using a new technique they call 'in-air microfluidics', University of Twente scientists succeed in printing 3D structures with living cells. This special technique enable the fast and 'in-flight' production of micro building blocks that are viable and can be used for repairing damaged tissue, for example.\n\nMicrofluidics is all about manipulating tiny drops of fluid with sizes between a micrometer and a millimeter. Most often, chips with tiny fluidic channels, reactors and other components are used for this: lab-on-a-chip systems. Although these chips offer a broad range of possibilities, in producing emulsions for example -- droplets carrying another substance -- the speed at which droplets leave the chip is typically in the microliter per minute range. For clinical and industrial applications, this is not fast enough: filling a volume of a cubic centimeter would take about 1000 minutes or 17 hours. The technique that is presented now, does this in a couple of minutes.\n\nImpact of jets\n\nCan we reach these higher speeds by not manipulating the fluids in microchannels, but in the air instead? This was one of the questions the researchers wanted to answer. And indeed it was possible, by using two 'jets' of fluid. From one jet, droplets are shot at the other jet. Creating the jets is relatively simple, and they move 100 to 1000 times faster than droplets from a microchip. Speed is not the only advantage. By choosing jets containing different types of fluids that react, the collision results in new materials. Smart combinations of fluids will result in solid and printable building blocks in one single step.\n\nPrinting tissue\n\nIn this way, it is possible to capture a living cell inside printable material. The resulting bio building blocks are printed in a 3D structure that looks like a sponge, filled with cells and fluid. These 3D modular biomaterials have an internal structure that is quite similar to that of natural tissue. Many 3D printing techniques are based on using heat or UV light: both would damage living cells. The new microfluidic approach is therefore a promising technique in tissue engineering, in which damaged tissue is repaired by using cultured cell material of the patient.\n\nThe research has been done by Tom Kamperman of the Developmental BioEngineering group of Prof Marcel Karperien, and by Claas Willem Visser of the Physics of Fluids group of Prof Detlef Lohse. Kamperman just recently finished his PhD on this subject, Claas Willem Visser temporarily works as a scientist at Harvard University on a Rubicon grant. He will return to the University of Twente afterwards and become an assistant professor. Both scientists are involved in the new IamFluidics spinoff, in which in-air microfluidics is used to create functional particles and materials.\n\nThere is a video on https://vimeo.com/253422847\n\n![180201092233_1_900x600.jpg](https://steemitimages.com/DQmZQeKXqxbbTu3cEJ4o9aLMcf9ZougioH9vBoPjp3hupqH/180201092233_1_900x600.jpg)",
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      "permlink": "3d-printing-of-cells",
      "title": "3D printing of cells"
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[]