Noisy intermediate-scale quantum algorithms
A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …
integer factorization and unstructured database search requires millions of qubits with low …
A quantum computing view on unitary coupled cluster theory
We present a review of the Unitary Coupled Cluster (UCC) ansatz and related ansätze
which are used to variationally solve the electronic structure problem on quantum …
which are used to variationally solve the electronic structure problem on quantum …
Quantum software components and platforms: Overview and quality assessment
Quantum computing is the latest revolution in computing and will probably come to be seen
as an advance as important as the steam engine or the information society. In the last few …
as an advance as important as the steam engine or the information society. In the last few …
Deterministic improvements of quantum measurements with grou** of compatible operators, non-local transformations, and covariance estimates
Obtaining the expectation value of an observable on a quantum computer is a crucial step in
the variational quantum algorithms. For complicated observables such as molecular …
the variational quantum algorithms. For complicated observables such as molecular …
Review of some existing QML frameworks and novel hybrid classical–quantum neural networks realising binary classification for the noisy datasets
One of the most promising areas of research to obtain practical advantage is Quantum
Machine Learning which was born as a result of cross-fertilisation of ideas between …
Machine Learning which was born as a result of cross-fertilisation of ideas between …
Bugs in Quantum computing platforms: an empirical study
The interest in quantum computing is growing, and with it, the importance of software
platforms to develop quantum programs. Ensuring the correctness of such platforms is …
platforms to develop quantum programs. Ensuring the correctness of such platforms is …
Meta-variational quantum eigensolver: Learning energy profiles of parameterized hamiltonians for quantum simulation
We present the meta-variational quantum eigensolver (VQE), an algorithm capable of
learning the ground-state energy profile of a parameterized Hamiltonian. If the meta-VQE is …
learning the ground-state energy profile of a parameterized Hamiltonian. If the meta-VQE is …
Reducing qubit requirements while maintaining numerical precision for the variational quantum eigensolver: A basis-set-free approach
We present a basis-set-free approach to the variational quantum eigensolver using an
adaptive representation of the spatial part of molecular wave functions. Our approach …
adaptive representation of the spatial part of molecular wave functions. Our approach …
Error mitigation for variational quantum algorithms through mid-circuit measurements
Noisy intermediate-scale quantum algorithms require novel paradigms of error mitigation. To
obtain noise-robust quantum computers, each logical qubit is equipped with hundreds or …
obtain noise-robust quantum computers, each logical qubit is equipped with hundreds or …
Quantum Equation of Motion with Orbital Optimization for Computing Molecular Properties in Near-Term Quantum Computing
Determining the properties of molecules and materials is one of the premier applications of
quantum computing. A major question in the field is how to use imperfect near-term quantum …
quantum computing. A major question in the field is how to use imperfect near-term quantum …