One of the main aims in the field of quantum simulation is to achieve a quantum speedup, often referred to as “quantum computational supremacy,” referring to the experimental realization of a quantum device that computationally outperforms classical computers. In this work, we show that one can devise versatile and feasible schemes of two-dimensional, dynamical, quantum simulators showing such a quantum speedup, building on intermediate problems involving nonadaptive, measurement-based, quantum computation. In each of the schemes, an initial product state is prepared, potentially involving an element of randomness as in disordered models, followed by a short-time evolution under a basic translationally invariant Hamiltonian with simple near...
Quantum simulators, machines that can replicate the dynamics of quantum systems, are being built as ...
The interest in quantum computing originates in the potential of a quan-tum computer to solve certai...
The Markov-chain Monte Carlo method is at the heart of efficient approximation schemes for a wide ra...
One of the main aims in the field of quantum simulation is to achieve a quantum speedup, often refer...
The development of small-scale quantum devices raises the question of how to fairly assess and detec...
In recent years, programmable quantum devices have reached sizes and complexities which put them out...
One of the main milestones in quantum information science is to realise quantum devices that exhibit...
41 pages, 12 figuresInternational audienceAs research on building scalable quantum computers advance...
We propose and analyze a sample-efficient protocol to estimate the fidelity between an experimentall...
Simulating quantum systems is a hard computational problem as resource requirements grow exponential...
Simulating quantum systems is a hard computational problem as resource requirements grow exponential...
Simulating quantum systems is a hard computational problem as resource requirements grow exponential...
The simulation of quantum physical systems is expected to be an important application for quantum co...
Quantum simulators, machines that can replicate the dynamics of quantum systems, are being built as ...
Quantum simulators, machines that can replicate the dynamics of quantum systems, are being built as ...
Quantum simulators, machines that can replicate the dynamics of quantum systems, are being built as ...
The interest in quantum computing originates in the potential of a quan-tum computer to solve certai...
The Markov-chain Monte Carlo method is at the heart of efficient approximation schemes for a wide ra...
One of the main aims in the field of quantum simulation is to achieve a quantum speedup, often refer...
The development of small-scale quantum devices raises the question of how to fairly assess and detec...
In recent years, programmable quantum devices have reached sizes and complexities which put them out...
One of the main milestones in quantum information science is to realise quantum devices that exhibit...
41 pages, 12 figuresInternational audienceAs research on building scalable quantum computers advance...
We propose and analyze a sample-efficient protocol to estimate the fidelity between an experimentall...
Simulating quantum systems is a hard computational problem as resource requirements grow exponential...
Simulating quantum systems is a hard computational problem as resource requirements grow exponential...
Simulating quantum systems is a hard computational problem as resource requirements grow exponential...
The simulation of quantum physical systems is expected to be an important application for quantum co...
Quantum simulators, machines that can replicate the dynamics of quantum systems, are being built as ...
Quantum simulators, machines that can replicate the dynamics of quantum systems, are being built as ...
Quantum simulators, machines that can replicate the dynamics of quantum systems, are being built as ...
The interest in quantum computing originates in the potential of a quan-tum computer to solve certai...
The Markov-chain Monte Carlo method is at the heart of efficient approximation schemes for a wide ra...