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[HTML][HTML] The variational quantum eigensolver: a review of methods and best practices
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …
received significant attention from the research community in recent years. It uses the …
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 versatile single-photon-based quantum computing platform
Quantum computing aims at exploiting quantum phenomena to efficiently perform
computations that are unfeasible even for the most powerful classical supercomputers …
computations that are unfeasible even for the most powerful classical supercomputers …
Multi-qubit entanglement and algorithms on a neutral-atom quantum computer
Gate-model quantum computers promise to solve currently intractable computational
problems if they can be operated at scale with long coherence times and high-fidelity logic …
problems if they can be operated at scale with long coherence times and high-fidelity logic …
Perspective on the current state-of-the-art of quantum computing for drug discovery applications
Computational chemistry is an essential tool in the pharmaceutical industry. Quantum
computing is a fast evolving technology that promises to completely shift the computational …
computing is a fast evolving technology that promises to completely shift the computational …
Quantum algorithms for quantum chemistry and quantum materials science
As we begin to reach the limits of classical computing, quantum computing has emerged as
a technology that has captured the imagination of the scientific world. While for many years …
a technology that has captured the imagination of the scientific world. While for many years …
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions
Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …
of novel materials. Computationally hard tasks in materials science stretch the limits of …
[HTML][HTML] A quantum engineer's guide to superconducting qubits
The aim of this review is to provide quantum engineers with an introductory guide to the
central concepts and challenges in the rapidly accelerating field of superconducting …
central concepts and challenges in the rapidly accelerating field of superconducting …
Error mitigation extends the computational reach of a noisy quantum processor
Quantum computation, a paradigm of computing that is completely different from classical
methods, benefits from theoretically proved speed-ups for certain problems and can be used …
methods, benefits from theoretically proved speed-ups for certain problems and can be used …
Quantum chemistry in the age of quantum computing
Practical challenges in simulating quantum systems on classical computers have been
widely recognized in the quantum physics and quantum chemistry communities over the …
widely recognized in the quantum physics and quantum chemistry communities over the …