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New Journal of Physics

Focus on quantum simulation

Tobias Schaetz, Chris Monroe, Tilman Esslinger

Published Aug 12, 2013• 60 citations
Publisher

Abstract

The endeavour to control increasingly larger systems of particles at the quantum level is a natural goal, and will be a driving force for the physical sciences in the coming decades. The control of a many-body system at the highest level possible can indeed be regarded as the ultimate form of engineering. Within this general research avenue, building quantum simulators and performing experimental quantum simulations will play a key role. A quantum simulator is a promising candidate to become the first application of quantum information science reaching beyond classical limitations [ 1 ], since the requirements on the number of quantum particles and fidelities of operations are predicted to be substantially relaxed compared to that envisioned for a universal quantum computer. This issue forms an extensive open-access resource spanning the various areas of experimental quantum simulation, from its relation to quantum information processing to its potential use for different applications.

DOI
10.1088/1367-2630/15/8/085009

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The extraordinary progress of both theoretical and experimental research in quantum physics allows us now to tame, control, and manipulate various quantum systems with unprecedented precision. Laser, magnetic, electronic and other technologies enable us to arrange quantum subsystems in different geometries, modify their interactions, and detect them. This allows us to engineer Hamiltonians and emulate systems displaying some of the most intriguing quantum phenomena. This tremendous progress is, to a large extent, due to the pioneering work of many researchers during the last twenty to thirty years. Here, the investigations of basic phenomena with one or few atoms or photons were of particular impact. The degree of control achieved in the experiments has enabled the observation of mind-boggling quantum effects, related to the superposition principle or to entangled states, and their disappearance due to decoherence. In fact, the 2012 Nobel Prize has been awarded to two scientists, S. 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The endeavour to control increasingly larger systems of particles at the quantum level is a natural goal, and will be a driving force for the physical sciences in the coming decades. The control of a many-body system at the highest level possible can indeed be regarded as the ultimate form of engineering. Within this general research avenue, building quantum simulators and performing experimental quantum simulations will play a key role. A quantum simulator is a promising candidate to become the first application of quantum information science reaching beyond classical limitations [ 1 ], since the requirements on the number of quantum particles and fidelities of operations are predicted to be substantially relaxed compared to that envisioned for a universal quantum computer. This issue forms an extensive open-access resource spanning the various areas of experimental quantum simulation, from its relation to quantum information processing to its potential use for different applications.
Quantum many-body systems, as they appear in different branches of physics and chemistry, are very hard to simulate. The number of parameters defining their quantum states grows exponentially with the number of constituents. This prevents us from exploring and investigating relevant problems involving relatively small numbers of subsystems even with the help of the most powerful supercomputers. Richard Feynman already noticed this difficulty back in 1981 when he wrote his visionary paper “Simulating Physics with Computers” [Int. J. Theor. Phys. 21:6/7, 467 (1982)]. There, he proposed to use quantum systems (as opposed to classical computers) to perform the simulation and in this way to circumvent the need to store and compute a colossal number of parameters, necessary to describe the pertaining superpositions. What was a visionary idea at that time has become a very active field of research in the last few years. The extraordinary progress of both theoretical and experimental research in quantum physics allows us now to tame, control, and manipulate various quantum systems with unprecedented precision. Laser, magnetic, electronic and other technologies enable us to arrange quantum subsystems in different geometries, modify their interactions, and detect them. This allows us to engineer Hamiltonians and emulate systems displaying some of the most intriguing quantum phenomena. This tremendous progress is, to a large extent, due to the pioneering work of many researchers during the last twenty to thirty years. Here, the investigations of basic phenomena with one or few atoms or photons were of particular impact. The degree of control achieved in the experiments has enabled the observation of mind-boggling quantum effects, related to the superposition principle or to entangled states, and their disappearance due to decoherence. In fact, the 2012 Nobel Prize has been awarded to two scientists, S. Haroche and D. Wineland, for such ground-breaking experiments. Such experiments, often in combination with laser cooling of atoms or ions and Bose-Einstein condensation, have formed one of the pillars on which the field of quantum simulations is being established. Quantum simulations with cold atoms, either in magnetic traps or in optical lattices, with trapped ions, with photons, with superconducting devices, with quantum dots, etc., have been theoretically proposed and experimentally considered by many researchers. Most of the proposals so far deal with problems in condensed matter physics that are either difficult to tackle with modern supercomputers or are difficult to observe in solid state systems. This has established a very close link between different disciplines, like atomic, molecular, and optical (AMO) physics, and condensed matter physics. Although some of the experiments are still in their infancy, and a lot of research is still needed, the extraordinary progress made in all these research areas during the last few years makes us feel confident that in the not too distant future quantum simulators will provide a key tool to investigate many-body quantum systems. Furthermore, we also expect that quantum simulators will help quantum physicists to establish new and fruitful links to other scientific communities, like high-energy physics or quantum chemistry. The present special issue contains various review papers as well as research papers on quantum simulations. It starts out with two papers written by last year's Nobel Prize winners describing their foundational work (Wineland, p. 739 and Haroche, p. 763). The issue continues with three thorough, invited review papers covering different topics on quantum simulations. The first one reviews recent theoretical proposals to use cold atoms in optical lattices to simulate lattice gauge theories of the sort that appear in high-energy physics (U.-J. Wiese, p. 783). The second covers both theoretical proposals and experimental demonstrations of cold-atom systems to simulate the physics of matter in the presence of gauge fields, displaying so-called topological phenomena, which so far have only been observed in solid-state systems (I. Spielman, p. 794). The third one contains an extensive overview and new proposals to perform a broad range of quantum simulations using quantum dot systems (P. Barthelmy et al., p. 813). The issue also includes six original papers with a variety of theoretical proposals as well as the introduction of novel theoretical techniques related to the field of quantum simulation. The field of quantum simulations is just starting, but we are confident that it will soon generate an even larger plethora of new ideas and discoveries, trigger interdisciplinary research, and lead us to the adventure of describing and understanding the quantum world. We hope that this special issue will help future researchers in such an exciting adventure. Rainer Blatt received his PhD degree in physics from the University of Mainz in 1981. As a postdoctoral fellow he worked on atomic beam cooling in Boulder, CO and later as a research assistant in Hamburg with single trapped ions. In 1995 he accepted a chair in experimental physics at the University of Innsbruck working on quantum information processing with trapped ions. Since 2003 he is also scientific director at the Institute for Quantum Optics and Quantum Information (IQOQI) of the Austrian Academy of Sciences. Immanuel Bloch received his PhD degree in physics from the Ludwig Maximilians University of Munich in 2000. As a junior group leader, he continued in Munich starting his work on ultracold quantum gases in optical lattices. In 2008 he was appointed scientific director of the newly founded division on Quantum Many-Body Systems at the Max Planck Institute of Quantum Optics. Since 2009 he also holds a chair in quantum optics at the Ludwig-Maximilians University of Munich. Ignacio Cirac received his PhD degree in physics from the Universidad Complutense de Madrid in 1991. He was professor at the Universities of Castilla-La Mancha and Innsbruck from 1991–1996 and 1996–2001, respectively. In 2001 he joined the Max-Planck Institute of Quantum Optics, where he leads the Theory Division. His current research interests include quantum information theory and quantum optics. Peter Zoller obtained his doctorate from the University of Innsbruck in 1977. He was Max Kade Fellow at the University of Southern California from 1978/79, and was JILA visiting Fellow 1981/82 and 1988. In 1990 he became JILA Fellow and professor of physics at the University of Colorado. At the end of 1994, he accepted a chair at the University of Innsbruck, where he has worked ever since. Since 2003, he has also held the position of Scientific Director at the Institute for Quantum Optics and Quantum Information (IQOQI) of the Austrian Academy of Sciences.
Quantum simulators are a promising technology on the spectrum of quantum devices from specialized quantum experiments to universal quantum computers. These quantum devices utilize entanglement and many-particle behaviors to explore and solve hard scientific, engineering, and computational problems. Rapid development over the last two decades has produced more than 300 quantum simulators in operation worldwide using a wide variety of experimental platforms. Recent advances in several physical architectures promise a golden age of quantum simulators ranging from highly optimized special purpose simulators to flexible programmable devices. These developments have enabled a convergence of ideas drawn from fundamental physics, computer science, and device engineering. They have strong potential to address problems of societal importance, ranging from understanding vital chemical processes, to enabling the design of new materials with enhanced performance, to solving complex computational problems. It is the position of the community, as represented by participants of the NSF workshop on "Programmable Quantum Simulators," that investment in a national quantum simulator program is a high priority in order to accelerate the progress in this field and to result in the first practical applications of quantum machines. Such a program should address two areas of emphasis: (1) support for creating quantum simulator prototypes usable by the broader scientific community, complementary to the present universal quantum computer effort in industry; and (2) support for fundamental research carried out by a blend of multi-investigator, multi-disciplinary collaborations with resources for quantum simulator software, hardware, and education.
MACHINE learning and Scientific Computing stand to gain significantly from Quantum Computing (QC), which holds promise to deliver new tools for solving complex and computationally demanding problems. Hardware-informed approaches, which attempt to lower the bar in resources required for the utilization of quantum paradigms, could accelerate such development. Simultaneously, as traditional workflows routinely employed in a number of applications evolve, so too do the opportunities for integrating quantum algorithms in the pipeline and unlock classical limitations. By developing the understanding for distinct advantages of quantum devices, new methods can emerge to enhance predictive accuracy, accelerate simulations, and uncover novel insights in scientific and industrial applications. However, limited resources offered by first generations of quantum devices typically necessitate of classical co-processing power, and require tailored software-hardware approach, often referred as ’co-design’. Furthermore, the nature of quantum computing and machine learning in science & technology applications increasingly call for methods that are physics-informed. This review explores the intersection of quantum computing and machine learning, with a particular emphasis on scientific machine learning (SciML). Unlike conventional machine learning, SciML is deeply rooted in formal and domain-specific constraints, making it an ideal candidate for quantum-enhanced approaches. Crucially, we argument how effective quantum algorithms need to both be aligned with the structures and requirements of targeted scientific problems, whilst carefully understanding the interplay between hardware and problem formulation. A key focus of this review is the role of neutral atomic quantum processors in advancing SciML. These platforms offer unique computational capabilities that remain under-explored compared to other quantum platforms. With their ability to naturally encode spatial and graph-based problems, neutral atom systems provide a promising avenue for tackling optimization and machine learning tasks that are particularly relevant in scientific computing. By highlighting in few examples the advantages and open questions surrounding these processors, we aim to present a forward-looking perspective on how quantum computing can reshape computational approaches in science and engineering.
I n this Physical Chemistry of Quantum Information Science (QIS) Virtual Special Issue, we delve into the research areas that have attracted significant attention and promise to reshape the landscape of quantum information science with a focus on molecular and materials systems.The topics explored here encompass theoretical and computational pursuits as well as cutting-edge experiments.The issue was inspired by recent innovations and discoveries in this active research field.Control of molecular quantum states has improved dramatically thanks to advances in producing cold molecular beams and trapped gas samples. 1 Manipulation of individual molecules in optical tweezers and of many-body interactions in various optical lattice configurations has opened exciting possibilities. 2 Likewise, control of quantum states has been achieved or proposed in a variety of materials, from defects in bulk materials to thin films and quantum dots and even large molecules such as dyes and fullerenes.The breadth of quantum technologies to which these molecular and materials platforms have the potential to cater is vast, including areas of sensing, computing, quantum optics, and beyond.Specifically, quantum computing may be poised to augment classical computations and offer solutions for challenging chemical problems, while quantum sensors can exhibit unprecedented sensitivity.These possibilities go beyond what is attainable with today's limited number of materials platforms, illustrating the central role of chemistry in the field of QIS.In this Virtual Special Issue, we explore quantum information science where molecular systems take center stage.We investigate the topic of quantum algorithms tailored for quantum chemistry, molecular dynamics, and statistical mechanics.This includes a quest to enhance the accuracy of classical computations for difficult chemistry problems involving strongly correlated systems in the works by A.
“Quantum Simulators”, as originally envisaged by Richard Feynman are highly controllable and specially engineered many‐body systems that have the potential to shed new light on open questions in condensed matter physics, high‐energy and nuclear physics. They are currently set‐up and explored in a diverse range of quantum systems ranging from ultracold quantum gases, over trapped ions and photonic systems, to superconducting and semiconductor devices. Image: The mathematical description of a phenomenon to be investigated is programmed using a series of laser pulses to perform a quantum calculation with atoms (credit: H. Ritsch).