Quantum Computing

Quantum-parallel vectorized data encodings and computations on trapped-ions and transmons QPUs

This paper proposes a nested state preparation circuit construction with a high degree of quantum parallelism. We test this circuit to load a variety of data sets stemming from applications and process them directly on a real QPU.

FABLE: Fast Approximate Quantum Circuits for Block-Encodings

Fast synthesis of quantum circuits for approximate block-encodings.

IEEE Quantum Week 2022

Talk on Fast Approximate Block-Encodings (FABLE) presented at IEEE Quantum Week 2022

XXI Householder Symposium on Numerical Linear Algebra

Talk on Fast Free Fermion Compiler at XXI Householder Symposium.

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.

Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrices

We provide explicit quantum circuits for the block encoding of certain sparse matrices.

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.


QPIXL++ is a quantum image pixel library that supports the compilation, simulation and compression of quantum circuits for Flexible Representations of Quantum Images.

An Algebraic Quantum Circuit Compression Algorithm for Hamiltonian Simulation

We present a numerical algorithm for compressing quantum circuits related to Hamiltonian simulation.


F3C or Fast Free Fermion Compiler is a quantum compiler of Hamiltonian simulation of spin systems that can be mapped to free fermions.