activity
19982026
most citedUniversal Quantum Computation with ideal Clifford gates and noisy ancillas

1.5k citations · 14.6k across the 99 of their papers we have counts for

collaborators

102 papers

quant-ph2026

Efficient quantum algorithm for Heisenberg spin systems

Sergey Bravyi, David Gosset, Yinchen Liu +1

We consider a broad family of Heisenberg-type quantum spin systems that were studied by Suzuki and Fisher in 1971. This family includes, for example, the Heisenberg antiferromagnet…

quant-ph2026

Quantum algorithms for stochastic nonlinear differential equations

Sergey Bravyi, Adam Byrne, Mykhaylo Zayats +1

Stochastic nonlinear dynamics underlie many models in engineering and computational physics, yet accurate high-dimensional simulation remains challenging. We present a quantum algo…

quant-ph2026

Observation of Improved Accuracy over Classical Sparse Ground-State Solvers using a Quantum Computer

William Kirby, Bibek Pokharel, Javier Robledo Moreno +25

Demonstrating quantum advantage over classical algorithms for ground state energy problems is an outstanding open problem in quantum computation. We experimentally demonstrate that…

quant-ph2026

Lee-Yang tensors and Hamiltonian complexity

Benjamin Wong, Sergey Bravyi, David Gosset +1

A complex tensor with binary indices can be identified with a multilinear polynomial in complex variables. We say it is a Lee-Yang tensor with radius if the polynomial…

quant-ph2025

Quantum simulation of a noisy classical nonlinear dynamics

Sergey Bravyi, Robert Manson-Sawko, Mykhaylo Zayats +1

We present an end-to-end quantum algorithm for simulating nonlinear dynamics described by a system of stochastic dissipative differential equations with a quadratic nonlinearity. T…

quant-ph2025

Classical and quantum algorithms for characters of the symmetric group

Sergey Bravyi, David Gosset, Vojtech Havlicek +1

Characters of irreducible representations are ubiquitous in group theory. However, computing characters of some groups such as the symmetric group is a challenging problem kn…