[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 …
Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation
Quantum computing is a game-changing technology for global academia, research centers
and industries including computational science, mathematics, finance, pharmaceutical …
and industries including computational science, mathematics, finance, pharmaceutical …
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 …
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 …
ARQUIN: architectures for multinode superconducting quantum computers
Many proposals to scale quantum technology rely on modular or distributed designs
wherein individual quantum processors, called nodes, are linked together to form one large …
wherein individual quantum processors, called nodes, are linked together to form one large …
QAOA-in-QAOA: solving large-scale MaxCut problems on small quantum machines
The design of fast algorithms for combinatorial optimization greatly contributes to a plethora
of domains such as logistics, finance, and chemistry. Quantum approximate optimization …
of domains such as logistics, finance, and chemistry. Quantum approximate optimization …
Quantum simulation of molecular response properties in the NISQ Era
Accurate modeling of the response of molecular systems to an external electromagnetic field
is challenging on classical computers, especially in the regime of strong electronic …
is challenging on classical computers, especially in the regime of strong electronic …
Quantum simulation of molecular electronic states with a transcorrelated Hamiltonian: higher accuracy with fewer qubits
Simulation of electronic structure is one of the most promising applications on noisy
intermediate-scale quantum (NISQ) era devices. However, NISQ devices suffer from a …
intermediate-scale quantum (NISQ) era devices. However, NISQ devices suffer from a …
Opportunities and challenges of quantum computing for engineering optimization
Quantum computing as the emerging paradigm for scientific computing has attracted
significant research attention in the past decade. Quantum algorithms to solve the problems …
significant research attention in the past decade. Quantum algorithms to solve the problems …
Quantifying the effect of gate errors on variational quantum eigensolvers for quantum chemistry
Variational quantum eigensolvers (VQEs) are leading candidates to demonstrate near-term
quantum advantage. Here, we conduct density-matrix simulations of leading gate-based …
quantum advantage. Here, we conduct density-matrix simulations of leading gate-based …