quantum simulation and quantum simulator


Quantum simulators permit the study of quantum systems that are difficult to study in the laboratory and impossible to model with a supercomputer. In this instance, simulators are special purpose devices designed to provide insight about specific physics problems

Quantum non-demolition measurements and quantum simulation
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Quantum information processing (QIP) has developed into one of the hot topics in physics during the last decade. More and more experiments appeared aiming at the realization of a quantum computer and/or quantum simulations. Strings of ions stored in a Paul trap are

Architectures for quantum simulation showing quantum supremacy
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One of the main aims in the field of quantum simulation is to achieve what is called quantum supremacy , referring to the experimental realization of a quantum device that computationally outperforms classical computers. In this work, we show that one can devise

Quantum computing resource estimate of molecular energy simulation
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The present paper explores the solution to this problem found by using quantum algorithms [5 11]. The history of quantum simulation dates back to the days of Feynman The unitary gate sequences used in the quantum simulation algorithm are presented in Section IV

Quantum simulation of Hamiltonian spectra on a silicon chip
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The efficient calculation of Hamiltonian spectra, a problem largely intractable on classical machines, promises to revolutionise many fields, from physics to chemistry. We propose and demonstrate a new quantum approach to make ground and excited-states experimentally

Quantum simulation of transverse Ising models with Rydberg atoms
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Quantum Ising models are canonical models for the study of quantum phase transitions (Sachdev 1999Quantum Phase Transitions (Cambridge: Cambridge University Press)) and are the underlying concept for many analogue quantum computing and quantum annealing

Quantum simulation study of gate-all-around (GAA) silicon nanowire transistor and double gate metal oxide semiconductor field effect transistor (DG MOSFET)
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In this paper, electrical characteristics of the double gate metal oxide semiconductor field effect transistor (DG MOSFET) and that of gate all around silicon nanowire transistor (GAA SNWT) have been investigated. We have evaluated the variations of the threshold voltage

The impact of body doping concentration on the performance of nano DG-MOSFETs: A quantum simulation
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It is well known that the advantages of silicon-on-insulator (SOI) MOSFETs over conventional transistors is related to reduced short channel effects (SCEs), increased circuit speed, and lower parasitic capacitances. To extend the scalability of the complementary

Efficient quantum circuit simulation
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general-purpose simulator program for quantum-mechanical applications called QuID- DPro. Through extensive experiments conducted on representative quantum simulation iv Page 6. applications, including Grovers search algorithm, error characterization, and reversible

Efficient quantum simulation of photosynthetic light harvesting
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Efficient exciton energy transfer (EET) is crucial in photosynthesis and solar cells, 2 especially when the systems are large, 3 eg, as in Photosystem I (PSI) and Photosystem II (PSII), which have hundreds of chromophores. A comprehensive knowledge of the quantum

Quantum simulation of many-body decoherence: noise as a resource
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We introduce a scheme for the quantum simulation of many-body decoherence that relies on the unitary evolution generated by a stochastic Hamiltonian including k-body interactions. We propose to modulate the strength of the interactions with a stochastic process, and show

Ultracold molecules: a platform for quantum simulation
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We explore the uses of ultracold molecules as a platform for future experiments in the field of quantum simulation , focusing on two molecular species, 40Ca19F and 87Rb133Cs. We report the development of coherent quantum state control using microwave fields in both

Quantum Simulation
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ICQSIM 2017 will present an up-to-date perspective on the thriving field of quantum simulation. The scientific program will combine invited tutorial talks by prominent specialists of the field, contributed talks, poster presentations and a round table discussion. The

Electron hydration: comparing non-adiabatic quantum simulation results to ultrafast laser photolysis data
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Recent experimental data suggest that hydration of laser-induced electrons in pure water might proceed via bound-to-bound electron transfer mechanism, instead of intermediate quasi-free electrons, depending on the energy delivered by the exciting photons to water

Quantum computation and simulation Spins Inside
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freedom . In the second approach, spins are shuttled along a quantum dot array, preserving both the spin projection and spin phase . Third, we have developed new concepts and techniques that make quantum dot arrays a credible platform for quantum simulation of the

Dynamic electron ion collisions and nuclear quantum effects in quantum simulation of warm dense matter
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The structural, thermodynamic and transport properties of warm dense matter (WDM) are crucial to the fields of astrophysics and planet science, as well as inertial confinement fusion. WDM refers to the states of matter in a regime of temperature and density between cold

Exact Ising model simulation on a quantum computer
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simulated ex- actly as well. This provides a new approach in quantum simulation if an exact circuit is found for those non trivial models, such as Heisenberg model, which have an ansatz to be solved. In particular, for one-dimensional

Quantum simulation of Dijkstras algorithm
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Quantum computers use quantum mechanical properties of matter to provide an exponential speed up in computation time and query processing capabilities compared to classical computing. There has been an increasing trend in finding efficient quantum algorithms for

Performance evaluation for petascale quantum simulation tools
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This paper describes the performance evaluation and analysis of a set of open source petascale quantum simulation tools for nanotechnology applications. The tools of interest are based on the existing realspace multigrid (RMG) method. In this work we take a

Quantum circuit for accurate simulation of qudit channels
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Algorithmic quantum simulationis important for simulating many-body dynamics , quantum- state generation and dissipative quantum-state engineering , quantum thermodynamicsnon equilibrium quantum phase transitions , testing element We hope that this volume will serve as a convenient reference for someone, regardless of background, who is interested in acquiring some appreciation of the field, of its current state of knowledge and of the breadth of the quantum simulation methods applied to biological


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