158 citations · 349 across the 13 of their papers we have counts for
14 papers
Polynomial-time classical and quantum simulation of quantum impurity models
Jiaqing Jiang, Nathan Ju, Ojas Parekh +2
Quantum impurity models are paradigmatic models of interacting quantum matter, as well as key computational primitives for modern electronic-structure methods. They describe a smal…
Lee-Yang theorem for fermions
Chaithanya Rayudu, Takahiro Misawa, Andrew Zhao +1
Lee-Yang theorems are a powerful tool for studying many-body systems, with applications ranging from analyzing phase transitions to proving the efficiency of certain classical and…
MorphQuad: Morphable Quadrotor for Superhuman Maneuverability, Manipulation, and Resiliency
Jose Diaz Peon Gonzalez Pacheco, Jiawei Xu, Andrew Zhao +7
Infrastructure maintenance, contact-based inspection, and emergency response can benefit from aerial vehicles that act as a flying human hand with extreme maneuverability, manipula…
Quantum Solvers for Nonlinear Matrix Equations in Quantum Chemistry
Pablo Rodenas-Ruiz, Andrew Zhao, Joonho Lee
We present a quantum algorithm for solving algebraic Riccati equations, with applications to quantum-chemical random-phase approximation (RPA) and higher-order RPA theories. Our me…
Learning fermionic linear optics with Heisenberg scaling and physical operations
Aria Christensen, Andrew Zhao
We revisit the problem of learning fermionic linear optics (FLO), also known as fermionic Gaussian unitaries. Given black-box query access to an unknown FLO, previous proposals req…
MorphEUS: Morphable Omnidirectional Unmanned System
Ivan Bao, José C. Díaz Peón González Pacheco, Atharva Navsalkar +5
Omnidirectional aerial vehicles (OMAVs) have opened up a wide range of possibilities for inspection, navigation, and manipulation applications using drones. In this paper, we intro…
Learning the structure of any Hamiltonian from minimal assumptions
Andrew Zhao
We study the problem of learning an unknown quantum many-body Hamiltonian from black-box queries to its time evolution . Prior proposals for solving this t…
Learning, Optimizing, and Simulating Fermions with Quantum Computers
Andrew Zhao
Fermions are fundamental particles which obey seemingly bizarre quantum-mechanical principles, yet constitute all the ordinary matter that we inhabit. As such, their study is heavi…
Group-theoretic error mitigation enabled by classical shadows and symmetries
Andrew Zhao, Akimasa Miyake
Estimating expectation values is a key subroutine in quantum algorithms. Near-term implementations face two major challenges: a limited number of samples required to learn a large…
Quantum simulation of exact electron dynamics can be more efficient than classical mean-field methods
Ryan Babbush, William J. Huggins, Dominic W. Berry +6
Quantum algorithms for simulating electronic ground states are slower than popular classical mean-field algorithms such as Hartree-Fock and density functional theory, but offer hig…
Expanding the reach of quantum optimization with fermionic embeddings
Andrew Zhao, Nicholas C. Rubin
Quadratic programming over orthogonal matrices encompasses a broad class of hard optimization problems that do not have an efficient quantum representation. Such problems are insta…
Quantum computational advantage attested by nonlocal games with the cyclic cluster state
Austin K. Daniel, Yinyue Zhu, C. Huerta Alderete +7
We propose a set of Bell-type nonlocal games that can be used to prove an unconditional quantum advantage in an objective and hardware-agnostic manner. In these games, the circuit…
Fermionic partial tomography via classical shadows
Andrew Zhao, Nicholas C. Rubin, Akimasa Miyake
We propose a tomographic protocol for estimating any -body reduced density matrix (-RDM) of an -mode fermionic state, a ubiquitous step in near-term quantum algorith…
Measurement reduction in variational quantum algorithms
Andrew Zhao, Andrew Tranter, William M. Kirby +3
Variational quantum algorithms are promising applications of noisy intermediate-scale quantum (NISQ) computers. These algorithms consist of a number of separate prepare-and-measure…