activity
20192026
most citedCalculating energy derivatives for quantum chemistry on a quantum computer

99 citations · 158 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Spectral amplification for ground-state energy estimation of electronic structure in first quantization

Alicja Dutkiewicz, Alec F. White, Guang Hao Low +6

We demonstrate an asymptotic gate complexity improvement in first-quantized ground-state energy estimation of electronic structure Hamiltonians in a plane wave basis by employing t…

quant-ph2026

Arts & crafts: Strong random unitaries and geometric locality

Marten Folkertsma, Lorenzo Grevink, Jonas Helsen +1

We study the problem of constructing strong approximate unitary -designs on -dimensional grids (and more generally on Cartesian products of graphs), building on the work of S…

quant-ph2026

Accurate ground state energy estimation with noise and imperfect state preparation

Alicja Dutkiewicz, Thomas E. O'Brien, Stefano Polla

We introduce a classical estimator for the post-processing of quantum phase estimation (QPE) data when a single target phase is isolated within a known interval, as is typical of g…

quant-ph2024★ 4 cited

Error mitigation and circuit division for early fault-tolerant quantum phase estimation

Alicja Dutkiewicz, Stefano Polla, Maximilian Scheurer +3

As fully fault-tolerant quantum computers capable of solving useful problems remain a distant goal, we anticipate an era of "early fault tolerance" where limited error correction i…

quant-ph2023★ 18 cited

The advantage of quantum control in many-body Hamiltonian learning

Alicja Dutkiewicz, Thomas E. O'Brien, Thomas Schuster

We study the problem of learning the Hamiltonian of a many-body quantum system from experimental data. We show that the rate of learning depends on the amount of control available…

quant-ph2021★ 37 cited

Heisenberg-limited quantum phase estimation of multiple eigenvalues with few control qubits

Alicja Dutkiewicz, Barbara M. Terhal, Thomas E. O'Brien

Quantum phase estimation is a cornerstone in quantum algorithm design, allowing for the inference of eigenvalues of exponentially-large sparse matrices.The maximum rate at which th…

quant-ph2019★ 99 cited

Calculating energy derivatives for quantum chemistry on a quantum computer

T. E. O'Brien, B. Senjean, R. Sagastizabal +5

Modeling chemical reactions and complicated molecular systems has been proposed as the `killer application' of a future quantum computer. Accurate calculations of derivatives of mo…