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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 …
Quantum algorithms for quantum dynamics
Among the many computational challenges faced across different disciplines, quantum-
mechanical systems pose some of the hardest ones and offer a natural playground for the …
mechanical systems pose some of the hardest ones and offer a natural playground for the …
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 …
Emerging quantum computing algorithms for quantum chemistry
Digital quantum computers provide a computational framework for solving the Schrödinger
equation for a variety of many‐particle systems. Quantum computing algorithms for the …
equation for a variety of many‐particle systems. Quantum computing algorithms for the …
Quantum embedding method for the simulation of strongly correlated systems on quantum computers
Quantum computing has emerged as a promising platform for simulating strongly correlated
systems in chemistry, for which the standard quantum chemistry methods are either …
systems in chemistry, for which the standard quantum chemistry methods are either …
Quantum computing for molecular biology
Molecular biology and biochemistry interpret microscopic processes in the living world in
terms of molecular structures and their interactions, which are quantum mechanical by their …
terms of molecular structures and their interactions, which are quantum mechanical by their …
Toward real chemical accuracy on current quantum hardware through the transcorrelated method
Quantum computing is emerging as a new computational paradigm with the potential to
transform several research fields including quantum chemistry. However, current hardware …
transform several research fields including quantum chemistry. However, current hardware …
Assessing the benefits and risks of quantum computers
Quantum computing is an emerging technology with potentially far-reaching implications for
national prosperity and security. Understanding the timeframes over which economic …
national prosperity and security. Understanding the timeframes over which economic …
Toward practical quantum embedding simulation of realistic chemical systems on near-term quantum computers
Quantum computing has recently exhibited great potential in predicting chemical properties
for various applications in drug discovery, material design, and catalyst optimization …
for various applications in drug discovery, material design, and catalyst optimization …
Pulse variational quantum eigensolver on cross-resonance-based hardware
State-of-the-art noisy digital quantum computers can only execute short-depth quantum
circuits. Variational algorithms are a promising route to unlock the potential of noisy quantum …
circuits. Variational algorithms are a promising route to unlock the potential of noisy quantum …