scholarly journals Manipulating Quantum Many-Body Systems in the Presence of Controllable Dissipation

Proceedings ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 8
Author(s):  
Davide Rossini
Keyword(s):  
Gauge Field ◽  
Annealing Time ◽  
Quantum Simulation ◽  
Quantum Annealing ◽  
Many Body ◽  
Persistent Currents ◽  
Dissipative Processes ◽  
Nonadiabatic Effects ◽  
Many Body Systems ◽  
Many Body Physics

We discuss two quantum simulation schemes in which the coupling to an external bath may give rise to novel and interesting many-body physics. Namely, we first address the effect of local Markovian baths on the quantum annealing dynamics of an Ising-like chain: deviations from adiabaticity may display a nonmonotonic trend as a function of the annealing time, as a result of the competition between nonadiabatic effects and dissipative processes. Secondly, we provide a framework to induce persistent currents through the coupling with a structured reservoir which generates nonreciprocity, without the need of any applied gauge field.

scholarly journals Efficient quantum simulation for thermodynamics of infinite-size many-body systems in arbitrary dimensions

2019 ◽  
Vol 99 (20) ◽  
Author(s):  
Shi-Ju Ran ◽  
Bin Xi ◽  
Cheng Peng ◽  
Gang Su ◽  
Maciej Lewenstein
Keyword(s):  
Quantum Simulation ◽  
Many Body ◽  
Arbitrary Dimensions ◽  
Many Body Systems

scholarly journals Local Convertibility and the Quantum Simulation of Edge States in Many-Body Systems

2014 ◽  
Vol 4 (4) ◽  
Author(s):  
Fabio Franchini ◽  
Jian Cui ◽  
Luigi Amico ◽  
Heng Fan ◽  
Mile Gu ◽  
...  
Keyword(s):  
Quantum Simulation ◽  
Edge States ◽  
Many Body ◽  
Many Body Systems

Random Numbers Can Help Solve Difficult Problems in Many-body Physics

2021 ◽  
Vol 1 ◽  
Keyword(s):  
Quantum Computing ◽  
Numerical Simulations ◽  
State Vector ◽  
Random Numbers ◽  
Many Body ◽  
Computational Burden ◽  
Many Body Systems ◽  
Random State ◽  
Many Body Physics

Theorists review a random state vector-based description of quantum many-body systems which helps greatly reduce the computational burden involved in their numerical simulations, opening doors to applications in quantum computing.

scholarly journals Bounding the costs of quantum simulation of many-body physics in real space

2017 ◽  
Vol 50 (30) ◽  
pp. 305301 ◽  
Author(s):  
Ian D Kivlichan ◽  
Nathan Wiebe ◽  
Ryan Babbush ◽  
Alán Aspuru-Guzik
Keyword(s):  
Quantum Simulation ◽  
Real Space ◽  
Many Body ◽  
Many Body Physics

scholarly journals Experimental Quantum Simulation of Entanglement in Many-Body Systems

2011 ◽  
Vol 107 (1) ◽  
Author(s):  
Jingfu Zhang ◽  
Tzu-Chieh Wei ◽  
Raymond Laflamme
Keyword(s):  
Quantum Simulation ◽  
Many Body ◽  
Many Body Systems

scholarly journals Testing a Quantum Annealer as a Quantum Thermal Sampler

2021 ◽  
Vol 2 (2) ◽  
pp. 1-20
Author(s):  
Zoe Gonzalez Izquierdo ◽  
Itay Hen ◽  
Tameem Albash
Keyword(s):  
Thermal Properties ◽  
Quantum Monte Carlo ◽  
Thermal State ◽  
Transverse Field ◽  
Quantum Annealing ◽  
Many Body ◽  
Expectation Values ◽  
Many Body Systems ◽  
Transverse Field Ising Model ◽  
Open Question

Motivated by recent experiments in which specific thermal properties of complex many-body systems were successfully reproduced on a commercially available quantum annealer, we examine the extent to which quantum annealing hardware can reliably sample from the thermal state in a specific basis associated with a target quantum Hamiltonian. We address this question by studying the diagonal thermal properties of the canonical one-dimensional transverse-field Ising model on a D-Wave 2000Q quantum annealing processor. We find that the quantum processor fails to produce the correct expectation values predicted by Quantum Monte Carlo. Comparing to master equation simulations, we find that this discrepancy is best explained by how the measurements at finite transverse fields are enacted on the device. Specifically, measurements at finite transverse field require the system to be quenched from the target Hamiltonian to a Hamiltonian with negligible transverse field, and this quench is too slow. The limitations imposed by such hardware make it an unlikely candidate for thermal sampling, and it remains an open question what thermal expectation values can be robustly estimated in general for arbitrary quantum many-body systems.

Quantum simulation and many-body physics with hundreds of trapped ions

CLEO: 2013 ◽  
2013 ◽  
Author(s):  
John J. Bollinger ◽  
Joseph W. Britton ◽  
Brian C. Sawyer
Keyword(s):  
Quantum Simulation ◽  
Trapped Ions ◽  
Many Body ◽  
Many Body Physics

scholarly journals Superconducting quantum many-body circuits for quantum simulation and computing

2020 ◽  
Vol 116 (23) ◽  
pp. 230501
Author(s):  
Samuel A. Wilkinson ◽  
Michael J. Hartmann
Keyword(s):  
Quantum Simulation ◽  
Many Body

REGULAR STRUCTURE OF LOW-LYING STATES FOR ATOMIC NUCLEI UNDER RANDOM INTERACTIONS

2008 ◽  
Vol 17 (supp01) ◽  
pp. 304-317
Author(s):  
Y. M. ZHAO
Keyword(s):  
Ground State ◽  
Collective Motion ◽  
Regular Structure ◽  
Positive Parity ◽  
Many Body ◽  
Random Interactions ◽  
Atomic Nuclei ◽  
Many Body Systems

In this paper we review regularities of low-lying states for many-body systems, in particular, atomic nuclei, under random interactions. We shall discuss the famous problem of spin zero ground state dominance, positive parity dominance, collective motion, odd-even staggering, average energies, etc., in the presence of random interactions.

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