activity
20152026
most citedVariational Quantum Computation of Excited States

466 citations · 971 across the 14 of their papers we have counts for

collaborators

16 papers

quant-ph2026

An uncertainty principle for entanglement

Mitali Nanda, Daochen Wang

Consider two orthonormal bases of a bipartite Hilbert space such that states in one basis are weakly entangled and states in the other are strongly entangled. We establish a quanti…

quant-ph2025

Energy Spectra of Compressed Quantum States

Daochen Wang

Quantum algorithms for estimating the ground state energy of a quantum system often operate by preparing a classically accessible quantum state and then applying quantum phase esti…

quant-ph2022★ 15 cited

Quantum differential equation solvers: limitations and fast-forwarding

Dong An, Jin-Peng Liu, Daochen Wang +1

We study the limitations and fast-forwarding of quantum algorithms for linear ordinary differential equation (ODE) systems with a particular focus on non-quantum dynamics, where th…

quant-ph2022★ 3 cited

Quantum divide and conquer

Andrew M. Childs, Robin Kothari, Matt Kovacs-Deak +2

The divide-and-conquer framework, used extensively in classical algorithm design, recursively breaks a problem of size into smaller subproblems (say, copies of size e…

quant-ph2022★ 3 cited

Lattice-Based Quantum Advantage from Rotated Measurements

Yusuf Alnawakhtha, Atul Mantri, Carl A. Miller +1

Trapdoor claw-free functions (TCFs) are immensely valuable in cryptographic interactions between a classical client and a quantum server. Typically, a protocol has the quantum serv…

quant-ph2022★ 1 cited

Parallel self-testing of EPR pairs under computational assumptions

Honghao Fu, Daochen Wang, Qi Zhao

Self-testing is a fundamental feature of quantum mechanics that allows a classical verifier to force untrusted quantum devices to prepare certain states and perform certain measure…

quant-ph2021★ 13 cited

Quantum Algorithms for Reinforcement Learning with a Generative Model

Daochen Wang, Aarthi Sundaram, Robin Kothari +2

Reinforcement learning studies how an agent should interact with an environment to maximize its cumulative reward. A standard way to study this question abstractly is to ask how ma…

quant-ph2020★ 17 cited

Quantum exploration algorithms for multi-armed bandits

Daochen Wang, Xuchen You, Tongyang Li +1

Identifying the best arm of a multi-armed bandit is a central problem in bandit optimization. We study a quantum computational version of this problem with coherent oracle access t…

quant-ph2020★ 15 cited

Symmetries, graph properties, and quantum speedups

Shalev Ben-David, Andrew M. Childs, András Gilyén +3

Aaronson and Ambainis (2009) and Chailloux (2018) showed that fully symmetric (partial) functions do not admit exponential quantum query speedups. This raises a natural question: h…

quant-ph2020★ 3 cited

Can graph properties have exponential quantum speedup?

Andrew M. Childs, Daochen Wang

Quantum computers can sometimes exponentially outperform classical ones, but only for problems with sufficient structure. While it is well known that query problems with full permu…

quant-ph2019★ 180 cited

Efficient quantum measurement of Pauli operators in the presence of finite sampling error

Ophelia Crawford, Barnaby van Straaten, Daochen Wang +3

Estimating the expectation value of an operator corresponding to an observable is a fundamental task in quantum computation. It is often impossible to obtain such estimates directl…

quant-ph2019★ 4 cited

Possibilistic simulation of quantum circuits by classical circuits

Daochen Wang

In breakthrough work, Bravyi, Gosset, and König (BGK) [Science, 2018] unconditionally proved that constant depth quantum circuits are more powerful than their classical counterpart…

quant-ph2018★ 466 cited

Variational Quantum Computation of Excited States

Oscar Higgott, Daochen Wang, Stephen Brierley

The calculation of excited state energies of electronic structure Hamiltonians has many important applications, such as the calculation of optical spectra and reaction rates. While…

quant-ph2018★ 240 cited

Accelerated Variational Quantum Eigensolver

Daochen Wang, Oscar Higgott, Stephen Brierley

The problem of finding the ground state energy of a Hamiltonian using a quantum computer is currently solved using either the quantum phase estimation (QPE) or variational quantum…

quant-ph2017

OpenFermion: The Electronic Structure Package for Quantum Computers

Jarrod R. McClean, Kevin J. Sung, Ian D. Kivlichan +32

Quantum simulation of chemistry and materials is predicted to be an important application for both near-term and fault-tolerant quantum devices. However, at present, developing and…

physics.atom-ph2015★ 11 cited

Driving Rabi oscillations at the giant dipole resonance in xenon

Stefan Pabst, Daochen Wang, Robin Santra

Free-electron lasers (FELs) produce short and very intense light pulses in the XUV and x-ray regimes. We investigate the possibility to drive Rabi oscillations in xenon with an int…