activity
20202026
most citedEvaluating energy differences on a quantum computer with robust phase estimation

58 citations · 101 across the 8 of their papers we have counts for

collaborators

10 papers

quant-ph2026

Below-threshold execution of fault-tolerant ripple-carry addition on a trapped-ion quantum computer

Jacob S. Nelson, Andrew J. Landahl, Andrew D. Baczewski

We deploy a universal fault-tolerant quantum computing (FTQC) architecture based on error-detecting and codes on Quantinuum's Helios-1 trapped-ion q…

quant-ph2026

Benchmarking the computational power of quantum computers

Timothy Proctor, Oliver Hart, Oliver Widzowski Maupin +27

Quantum computing hardware is advancing rapidly toward utility-scale machines that will enable scientific breakthroughs. Many teams are pursuing distinct and difficult-to-compare r…

quant-ph2026

An approach for calculating astrophysical opacities on quantum computers

Shivesh Pathak, Alina Kononov, Andrew D. Baczewski

We propose a quantum algorithmic protocol for calculating astrophysical opacities. Our implementation uses first- and second-quantized representations of interacting electronic and…

quant-ph2026

The Road to Useful Quantum Computers

Timothy Proctor, Robin Blume-Kohout, Andrew Baczewski

Building a useful quantum computer is a grand science and engineering challenge, currently pursued intensely by teams around the world. In the 1980s, Richard Feynman and Yuri Manin…

quant-ph2025

Benchmarking quantum computers with any quantum algorithm

Stefan K. Seritan, Aditya Dhumuntarao, Aidan Q. Wilber-Gauthier +5

Application-based benchmarks are increasingly used to quantify and compare quantum computers' performance. However, because contemporary quantum computers cannot run utility-scale…

quant-ph2024★ 1 cited

Requirements for building effective Hamiltonians using quantum-enhanced density matrix downfolding

Shivesh Pathak, Antonio E. Russo, Stefan Seritan +4

Density matrix downfolding (DMD) is a technique for regressing low-energy effective Hamiltonians from quantum many-body Hamiltonians. One limiting factor in the accuracy of classic…

quant-ph2023

Spectral Gaps via Imaginary Time

Jacob M. Leamer, Alicia B. Magann, Gerard McCaul +1

The spectral gap occupies a role of central importance in many open problems in physics. We present an approach for evaluating the spectral gap of a Hamiltonian from a simple ratio…

quant-ph2022★ 12 cited

Quantifying -gate-count improvements for ground-state-energy estimation with near-optimal state preparation

Shivesh Pathak, Antonio Russo, Stefan Seritan +1

We study the question of when investing additional quantum resources in preparing a ground state will improve the aggregate runtime associated with estimating its energy. We analyz…

quant-ph2022★ 30 cited

Self-healing of Trotter error in digital adiabatic state preparation

Lucas K. Kovalsky, Fernando A. Calderon-Vargas, Matthew D. Grace +4

Adiabatic time evolution can be used to prepare a complicated quantum many-body state from one that is easier to synthesize and Trotterization can be used to implement such an evol…

quant-ph2020★ 58 cited

Evaluating energy differences on a quantum computer with robust phase estimation

A. E. Russo, K. M. Rudinger, B. C. A. Morrison +1

We adapt the robust phase estimation algorithm to the evaluation of energy differences between two eigenstates using a quantum computer. This approach does not require controlled u…