Classical stochastic processes can be generated by quantum simulators instead of the more standard classical ones, such as hidden Markov models. One reason for using quantum simulators is that they generally require less memory than their classical counterparts. Here, we examine this quantum advantage for strongly coupled spin systems---the Dyson-like one-dimensional Ising spin chain with variable interaction length. We find that the advantage scales with both interaction range and temperature, growing without bound as interaction increases. Thus, quantum systems can very efficiently simulate strongly coupled classical systems
Quantum simulation is the notion of experimentally controlling and manipulating physical quantum mec...
International audienceWe investigate the quantum equation of motion (qEOM), a hybrid quantum-classic...
The numerical simulation of dynamical phenomena in interacting quantum systems is a notoriously har...
Classical stochastic processes can be generated by quantum simulators instead of the more s...
Classical stochastic processes can be generated by quantum simulators instead of the more standard c...
We investigate the problem of simulating classical stochastic processes through quantum dynamics and...
Computer simulation of observable phenomena is an indispensable tool for engineering new technology,...
The minimal memory required to model a given stochastic process - known as the statistical complexit...
Simulating the stochastic evolution of real quantities on a digital computer requires a trade-off be...
Thesis (Ph.D.)--University of Washington, 2015In this dissertation we study classical and quantum sp...
Stochastic processes underlie a vast range of natural and social phenomena. Some processes such as a...
We present a comprehensive comparison of spin and energy dynamics in quantum and classical spin mode...
We present a comprehensive comparison of spin and energy dynamics in quantum and classical spin mode...
This thesis studies computational advantages that could be achieved by using quantum resources in tw...
Simulating stochastic processes using less resources is a key pursuit in many sciences. This involve...
Quantum simulation is the notion of experimentally controlling and manipulating physical quantum mec...
International audienceWe investigate the quantum equation of motion (qEOM), a hybrid quantum-classic...
The numerical simulation of dynamical phenomena in interacting quantum systems is a notoriously har...
Classical stochastic processes can be generated by quantum simulators instead of the more s...
Classical stochastic processes can be generated by quantum simulators instead of the more standard c...
We investigate the problem of simulating classical stochastic processes through quantum dynamics and...
Computer simulation of observable phenomena is an indispensable tool for engineering new technology,...
The minimal memory required to model a given stochastic process - known as the statistical complexit...
Simulating the stochastic evolution of real quantities on a digital computer requires a trade-off be...
Thesis (Ph.D.)--University of Washington, 2015In this dissertation we study classical and quantum sp...
Stochastic processes underlie a vast range of natural and social phenomena. Some processes such as a...
We present a comprehensive comparison of spin and energy dynamics in quantum and classical spin mode...
We present a comprehensive comparison of spin and energy dynamics in quantum and classical spin mode...
This thesis studies computational advantages that could be achieved by using quantum resources in tw...
Simulating stochastic processes using less resources is a key pursuit in many sciences. This involve...
Quantum simulation is the notion of experimentally controlling and manipulating physical quantum mec...
International audienceWe investigate the quantum equation of motion (qEOM), a hybrid quantum-classic...
The numerical simulation of dynamical phenomena in interacting quantum systems is a notoriously har...