Noisy intermediate-scale quantum simulation of the one-dimensional wave equation
We design and implement quantum circuits for the simulation of the one-dimensional wave
equation on the Quantinuum H1-1 quantum computer. The circuit depth of our approach …
equation on the Quantinuum H1-1 quantum computer. The circuit depth of our approach …
Statistical phase estimation and error mitigation on a superconducting quantum processor
Quantum phase estimation (QPE) is a key quantum algorithm, which has been widely
studied as a method to perform chemistry and solid-state calculations on future fault-tolerant …
studied as a method to perform chemistry and solid-state calculations on future fault-tolerant …
Single-shot quantum signal processing interferometry
Quantum systems of infinite dimension, such as bosonic oscillators, provide vast resources
for quantum sensing. Yet, a general theory on how to manipulate such bosonic modes for …
for quantum sensing. Yet, a general theory on how to manipulate such bosonic modes for …
Toward mixed analog-digital quantum signal processing: Quantum ad/da conversion and the fourier transform
Signal processing stands as a pillar of classical computation and modern information
technology, applicable to both analog and digital signals. Recently, advancements in …
technology, applicable to both analog and digital signals. Recently, advancements in …
A Modular Engine for Quantum Monte Carlo Integration
IY Akhalwaya, A Connolly, R Guichard… - arxiv preprint arxiv …, 2023 - arxiv.org
We present the Quantum Monte Carlo Integration (QMCI) engine developed by Quantinuum.
It is a quantum computational tool for evaluating multi-dimensional integrals that arise in …
It is a quantum computational tool for evaluating multi-dimensional integrals that arise in …
Hamiltonian dynamics on digital quantum computers without discretization error
E Granet, H Dreyer - npj Quantum Information, 2024 - nature.com
We introduce an algorithm to compute expectation values of time-evolved observables on
digital quantum computers that requires only bounded average circuit depth to reach …
digital quantum computers that requires only bounded average circuit depth to reach …
Parallel quantum signal processing via polynomial factorization
Quantum signal processing (QSP) is a methodology for constructing polynomial
transformations of a linear operator encoded in a unitary. Applied to an encoding of a state …
transformations of a linear operator encoded in a unitary. Applied to an encoding of a state …
Compact and classically preprocessed data-loading quantum circuit as a quantum random access memory
B Duan, CY Hsieh - Physical Review A, 2024 - APS
Quantum random access memory (QRAM) is an essential ingredient for many quantum
algorithms, such as quantum machine learning models. The quantum resources (qubit …
algorithms, such as quantum machine learning models. The quantum resources (qubit …
Calculating the many-body density of states on a digital quantum computer
Quantum statistical mechanics allows us to extract thermodynamic information from a
microscopic description of a many-body system. A key step is the calculation of the density of …
microscopic description of a many-body system. A key step is the calculation of the density of …
Block encoding of matrix product operators
Quantum signal processing combined with quantum eigenvalue transformation has recently
emerged as a unifying framework for several quantum algorithms. In its standard form, it …
emerged as a unifying framework for several quantum algorithms. In its standard form, it …