Quantum Computing

Estimating Eigenenergies from Quantum Dynamics: A Unified Noise-Resilient Measurement-Driven Approach

In this paper, we introduce a novel measurement-driven approach that finds eigenenergies by collecting real-time measurements and post-processing them using the machinery of dynamic mode decomposition (DMD).

Algebraic Compression of Free Fermionic Quantum Circuits: Particle Creation, Arbitrary Lattices and Controlled Evolution

We extend our circuit compression algorithms to free fermionic systems on arbitrary lattices, incorporate particle creation operations, and allow for controlled evolution.

Classical and Quantum Strategies to Boost Quantum Subspace Methods

Presentation on Quantum Subspace Methods at APS March Meeting 2023.

QCLAB++: Simulating Quantum Circuits on GPUs

We report a series benchmarks conducted in NERSC's Perlmutter system using a GPU adaptation of QCLAB++, a light-weight, fully-templated C++ package for quantum circuit simulations.

Exploring Finite Temperature Properties of Materials with Quantum Computers

This paper introduces a two-step protocol to prepare thermal pure quantum states on a quantum computer.

FABLE: Fast Approximate Quantum Circuits for Block-Encodings

Fast synthesis of quantum circuits for approximate block-encodings.

FABLE: Fast Approximate Block-Encodings

Talk on Fast Approximate Block-Encodings (FABLE) presented at IEEE Quantum Week 2022 in Broomfield, CO.

Algebraic compression of quantum circuits for Hamiltonian simulation

Talk on Fast Free Fermion Compiler at XXI Householder Symposium in Bari, Italy.

Quantum pixel representations and compression for N-dimensional images

We introduce a uniform framework for quantum pixel representations that encompasses many of the popular image representations proposed in the literature. We propose a novel circuit implementation with an efficient compression algorithm.

Algebraic Compression of Quantum Circuits for Hamiltonian Evolution

By analyzing the Hamiltonian algebra, we show that Trotter circuits for simulation of free fermions are efficiently compressible. Our method is applied to an adiabatic state preparation experiment.