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Purification-based quantum error mitigation of pair-correlated electron simulations
by
Newman, M
, Miao, K C
, Campero, J
, Montazeri, S
, Kieferová, M
, Bengtsson, A
, Xing, C
, Shutty, N
, Lester, B J
, Nguyen, A
, Lill, A T
, Khezri, M
, Bortoli, G
, Bourassa, A
, Opremcak, A
, Nguyen, M
, Rocque, C
, Lucero, E
, Potter, R
, Jiang, Z
, Bacon, D
, Anselmetti, G
, Polla, S
, Laws, L
, Rubin, N C
, Crook, A L
, Mieszala, A
, Thor, D
, Sankaragomathi, K
, Boixo, S
, Burger, T
, Isakov, S V
, Conner, P
, Faoro, L
, L Flores Burgos
, Quintana, C
, Chik, D
, Movassagh, R
, Demura, S
, Klots, A R
, Kothari, R
, Yao, Z J
, Laptev, P
, Liu, W
, Mohseni, M
, Mandra, S
, Arya, K
, Torres, A
, Gidney, C
, Habegger, S
, Locharla, A
, Hansen, M
, Gosula, R
, Villalonga, B
, Bushnell, N
, Schurkus, H F
, Smith, W C
, Hong, S
, Farhi, E
, Korotkov, A N
, Foxen, B
, Young, G
, Harrington, S D
, Neill, C
, Zalcman, A
, Fowler, A G
, C Vollgraff Heidweiller
, Kechedzhi, K
, Neven, H
, Saei, N
, Erickson, C
, Chiaro, B
, O'Brien, T E
, Malone, F D
, Zhang, Y
, Anderson, K
, Babbush, R
, Allen, R
, Giang, W
, Curtin, B
, Kostritsa, F
, Dau, A Grajales
, Khattar, T
, Somma, R
, White, T
, Pryadko, L P
, Cogan, J
, McEwen, M
, Kreikebaum, J M
, Lee, J
, Lee, K
, Satzinger, K J
, Aleiner, I
, McClean, J R
, Elfving, V E
, Zhu, N
, Shearn, M J
, Yoo, J
, Arute, F
, Megrant, A
in
Algorithms
/ Distillation
/ Electronic structure
/ Error reduction
/ Fault tolerance
/ Microprocessors
/ Physical simulation
/ Purification
/ Quantum computing
/ Qubits (quantum computing)
/ Simulation
2022
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Purification-based quantum error mitigation of pair-correlated electron simulations
by
Newman, M
, Miao, K C
, Campero, J
, Montazeri, S
, Kieferová, M
, Bengtsson, A
, Xing, C
, Shutty, N
, Lester, B J
, Nguyen, A
, Lill, A T
, Khezri, M
, Bortoli, G
, Bourassa, A
, Opremcak, A
, Nguyen, M
, Rocque, C
, Lucero, E
, Potter, R
, Jiang, Z
, Bacon, D
, Anselmetti, G
, Polla, S
, Laws, L
, Rubin, N C
, Crook, A L
, Mieszala, A
, Thor, D
, Sankaragomathi, K
, Boixo, S
, Burger, T
, Isakov, S V
, Conner, P
, Faoro, L
, L Flores Burgos
, Quintana, C
, Chik, D
, Movassagh, R
, Demura, S
, Klots, A R
, Kothari, R
, Yao, Z J
, Laptev, P
, Liu, W
, Mohseni, M
, Mandra, S
, Arya, K
, Torres, A
, Gidney, C
, Habegger, S
, Locharla, A
, Hansen, M
, Gosula, R
, Villalonga, B
, Bushnell, N
, Schurkus, H F
, Smith, W C
, Hong, S
, Farhi, E
, Korotkov, A N
, Foxen, B
, Young, G
, Harrington, S D
, Neill, C
, Zalcman, A
, Fowler, A G
, C Vollgraff Heidweiller
, Kechedzhi, K
, Neven, H
, Saei, N
, Erickson, C
, Chiaro, B
, O'Brien, T E
, Malone, F D
, Zhang, Y
, Anderson, K
, Babbush, R
, Allen, R
, Giang, W
, Curtin, B
, Kostritsa, F
, Dau, A Grajales
, Khattar, T
, Somma, R
, White, T
, Pryadko, L P
, Cogan, J
, McEwen, M
, Kreikebaum, J M
, Lee, J
, Lee, K
, Satzinger, K J
, Aleiner, I
, McClean, J R
, Elfving, V E
, Zhu, N
, Shearn, M J
, Yoo, J
, Arute, F
, Megrant, A
in
Algorithms
/ Distillation
/ Electronic structure
/ Error reduction
/ Fault tolerance
/ Microprocessors
/ Physical simulation
/ Purification
/ Quantum computing
/ Qubits (quantum computing)
/ Simulation
2022
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Do you wish to request the book?
Purification-based quantum error mitigation of pair-correlated electron simulations
by
Newman, M
, Miao, K C
, Campero, J
, Montazeri, S
, Kieferová, M
, Bengtsson, A
, Xing, C
, Shutty, N
, Lester, B J
, Nguyen, A
, Lill, A T
, Khezri, M
, Bortoli, G
, Bourassa, A
, Opremcak, A
, Nguyen, M
, Rocque, C
, Lucero, E
, Potter, R
, Jiang, Z
, Bacon, D
, Anselmetti, G
, Polla, S
, Laws, L
, Rubin, N C
, Crook, A L
, Mieszala, A
, Thor, D
, Sankaragomathi, K
, Boixo, S
, Burger, T
, Isakov, S V
, Conner, P
, Faoro, L
, L Flores Burgos
, Quintana, C
, Chik, D
, Movassagh, R
, Demura, S
, Klots, A R
, Kothari, R
, Yao, Z J
, Laptev, P
, Liu, W
, Mohseni, M
, Mandra, S
, Arya, K
, Torres, A
, Gidney, C
, Habegger, S
, Locharla, A
, Hansen, M
, Gosula, R
, Villalonga, B
, Bushnell, N
, Schurkus, H F
, Smith, W C
, Hong, S
, Farhi, E
, Korotkov, A N
, Foxen, B
, Young, G
, Harrington, S D
, Neill, C
, Zalcman, A
, Fowler, A G
, C Vollgraff Heidweiller
, Kechedzhi, K
, Neven, H
, Saei, N
, Erickson, C
, Chiaro, B
, O'Brien, T E
, Malone, F D
, Zhang, Y
, Anderson, K
, Babbush, R
, Allen, R
, Giang, W
, Curtin, B
, Kostritsa, F
, Dau, A Grajales
, Khattar, T
, Somma, R
, White, T
, Pryadko, L P
, Cogan, J
, McEwen, M
, Kreikebaum, J M
, Lee, J
, Lee, K
, Satzinger, K J
, Aleiner, I
, McClean, J R
, Elfving, V E
, Zhu, N
, Shearn, M J
, Yoo, J
, Arute, F
, Megrant, A
in
Algorithms
/ Distillation
/ Electronic structure
/ Error reduction
/ Fault tolerance
/ Microprocessors
/ Physical simulation
/ Purification
/ Quantum computing
/ Qubits (quantum computing)
/ Simulation
2022
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Purification-based quantum error mitigation of pair-correlated electron simulations
Paper
Purification-based quantum error mitigation of pair-correlated electron simulations
2022
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Overview
An important measure of the development of quantum computing platforms has been the simulation of increasingly complex physical systems. Prior to fault-tolerant quantum computing, robust error mitigation strategies are necessary to continue this growth. Here, we study physical simulation within the seniority-zero electron pairing subspace, which affords both a computational stepping stone to a fully correlated model, and an opportunity to validate recently introduced ``purification-based'' error-mitigation strategies. We compare the performance of error mitigation based on doubling quantum resources in time (echo verification) or in space (virtual distillation), on up to \\(20\\) qubits of a superconducting qubit quantum processor. We observe a reduction of error by one to two orders of magnitude below less sophisticated techniques (e.g. post-selection); the gain from error mitigation is seen to increase with the system size. Employing these error mitigation strategies enables the implementation of the largest variational algorithm for a correlated chemistry system to-date. Extrapolating performance from these results allows us to estimate minimum requirements for a beyond-classical simulation of electronic structure. We find that, despite the impressive gains from purification-based error mitigation, significant hardware improvements will be required for classically intractable variational chemistry simulations.
Publisher
Cornell University Library, arXiv.org
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