quantum computing algorithms

Estimating Eigenenergies from Quantum Dynamics: A Unified Noise-Resilient Measurement-Driven Approach

Estimating Eigenenergies from Quantum Dynamics: A Unified Noise-Resilient Measurement-Driven Approach

Yizhi Shen1, Daan Camps2, Aaron Szasz1, Siva Darbha1,2, Katherine Klymko2, David B. Williams–Young1, Norm M. Tubman3, and Roel Van Beeumen1 1Applied Mathematics and Computational Research...

Classical Benchmarks for Variational Quantum Eigensolver Simulations of the Hubbard Model

Classical Benchmarks for Variational Quantum Eigensolver Simulations of the Hubbard Model

Antonios M. Alvertis1,2,3, Abid Khan4, Thomas Iadecola5,6, Peter P. Orth5,6,7, and Norm Tubman8 1KBR, Inc., NASA Ames Research Center, Moffett Field, CA 94035, United States2Department...

Solving lattice gauge theories using the quantum Krylov algorithm and qubitization

Solving lattice gauge theories using the quantum Krylov algorithm and qubitization

Lewis W. Anderson1,2, Martin Kiffner1,3, Tom O’Leary1, Jason Crain4,1, and Dieter Jaksch5,1 1Clarendon Laboratory, University of Oxford, Parks Road, Oxford OX1 3PU, UK2IBM Research Europe,...

Quantum Initiatives Shaping the Future of Data Centers.

Quantum Initiatives Shaping the Future of Data Centers. IBM, Google, & Spectral Capital Initiatives.

Buzzword Overload A paradigm shift is quietly emerging in technology behind the buzzword “quantum.” Unlike traditional data centers, quantum data centers have the potential to...

Marco Pistoia; Managing Director, Head of FLARE,  Distinguished Engineer, JPMorgan Chase & Co. will speak on “Quantum AI in Banking and Finance at Quantum + AI” in NYC, October 29-30

Marco Pistoia; Managing Director, Head of FLARE,  Distinguished Engineer, JPMorgan Chase & Co. will speak on “Quantum AI in Banking and Finance at Quantum + AI” in NYC, October 29-30

Marco Pistoia, Managing Director, Global Head of Applied Research, JPMorgan Chase & Co.; will speak at Quantum + AI in NYC October 29-30 on: Marco...

Sampling Error Analysis in Quantum Krylov Subspace Diagonalization

Sampling Error Analysis in Quantum Krylov Subspace Diagonalization

Gwonhak Lee1, Dongkeun Lee2,3, and Joonsuk Huh1,2,4 1SKKU Advanced Institute of Nanotechnology, Sungkyunkwan University, Suwon 16419, Republic of Korea2Department of Chemistry, Sungkyunkwan University, Suwon 16419,...

Quantum-enhanced mean value estimation via adaptive measurement

Quantum-enhanced mean value estimation via adaptive measurement

Kaito Wada1, Kazuma Fukuchi1, and Naoki Yamamoto1,2 1Department of Applied Physics and Physico-Informatics, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa, 223-8522, Japan2Quantum Computing Center, Keio...

Analysis of quantum Krylov algorithms with errors

Analysis of quantum Krylov algorithms with errors

William Kirby IBM Quantum, IBM Research Cambridge, Cambridge, MA 02142, USA Find this paper interesting or want to discuss? Scite or leave a comment on...

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