Conferences  >  Informatics  >  Quantum Information Theory and Quantum Computing  >  United States

Mathematical Sciences Research Institute (MSRI)

This workshop is about the recent MIP*=RE result from quantum computational complexity, and the resulting resolution of the Connes embedding problem from the theory of von Neumann algebras. MIP*=RE connects the disparate areas of computational complexity theory, quantum information, operator algebras, and approximate representation theory. The techniques used in the proof of MIP*=RE, such as self-testing and probabilistically checkable proofs, are well-known in theoretical computer science and quantum information, but are unfortunately completely foreign in operator algebras and approximate representation theory. Likewise, the tools of operator algebras and approximate representation theory are mostly unfamiliar in theoretical computer science and quantum information. This has made it challenging to translate the MIP*=RE result and the techniques used to prove it into a form digestible to operator algebraists. The aim of this workshop is to bridge this divide, by giving an in-depth exposition of the techniques used in the proof of MIP*=RE, and highlighting perspectives on the MIP*=RE result from operator algebras and approximate representation theory. In particular, this workshop will highlight connections with group stability, something that has not been covered in previous workshops. In addition to increasing understanding of the MIP*=RE proof, we hope that this will open up further applications of the ideas behind MIP*=RE in operator algebras.

Algebra,    Quantum Mechanics and Quantum Information Theory

The Quantum Computing Summer School is an immersive 10-week curriculum that includes tutorials from world-leading experts in quantum computation as well as one-on-one mentoring from LANL staff scientists who are conducting cutting-edge quantum computing research. Summer school fellowship recipients will be exposed to the theoretical foundations of quantum computation and will become skilled at programming commercial quantum computers, such as those developed by D-Wave Systems, Rigetti, and IBM. Roughly twenty students (with the precise number determined based on the applicant pool) will be awarded a fellowship from LANL for the summer school.

Quantum Mechanics and Quantum Information Theory,    Courses and Events for Physics Students

Optica

On the edge of a technology revolution, Quantum 2.0 refers to the development and use of quantum superposition and entanglement in large engineered systems. Examples of such large quantum systems include quantum computers and simulators, quantum communication networks and arrays of quantum sensors. New technologies will go far beyond the (quantum 1.0) capabilities offered by single systems.

Optics and Lasers,    Quantum Mechanics and Quantum Information Theory

University of New Mexico, Albuquerque

The twelfth International Conference, AQC 2023, will bring together researchers from different communities to explore this computational paradigm and related topics. The goal of the conference is to promote a dialogue on the open theoretical questions and experimental challenges that must be addressed to realize practically useful adiabatic quantum computing and quantum annealing in existing and near-term hardware.

Quantum Mechanics and Quantum Information Theory,    Information Theory, Foundations of Computer Science

Join us for an incredible three-day event taking place on June 27-29, 2023. Engage intimately with key government, academic, and industry leaders as we shape the future of quantum together. Brought to you by the Air Force Research Laboratory (AFRL), Air Force Office of Scientific Research (AFOSR), Griffiss Institute, and the Innovare Advancement Center. This event is part of a global connectivity initiative to build an open ecosystem of government, academic, and industry collaborations and shape the future of quantum innovation for the U.S. and its’ partners.

IEEE Computer Society

The 2023 IEEE World Congress on Services will be held in Chicago, Illinois USA. The IEEE International Conference on Quantum Software (QSW) is focusing on quantum software engineering, including hybrid quantum software, quantum software development, quantum in the cloud, quantum applications, and quantum software analysis & evolution. The goal of QSW is to bring together researchers and practitioners from different areas of quantum computing and (classical) software and service engineering to strengthen the quantum software community and discuss, e.g., architectural styles, languages, and best practices of quantum software as well as many other aspects of the quantum software development lifecycle.

Quantum Mechanics and Quantum Information Theory,    Software Engineering

The conference is sponsored by the NSF Quantum Leap Challenge Institute for Robust Quantum Simulation.

QSim is an international annual conference on quantum simulation that aims to bridge theory and experiment, bringing together physicists, engineers, chemists, material scientists, mathematicians, and computer scientists working at the forefront of quantum simulation and related problems that include applications, algorithms, verification, noise, scaling, etc. for both analog and digital approaches. A special session midweek will be devoted to charting the future of the field. We hope that this conference will stimulate interactions across disciplines and unveil new connections between seemingly disparate aspects of physics.

IEEE Quantum Week — the IEEE International Conference on Quantum Computing and Engineering (QCE) — is bridging the gap between the science of quantum computing and the development of an industry surrounding it. As such, this event brings a perspective to the quantum industry different from academic or business conferences. IEEE Quantum Week is a multidisciplinary quantum computing and engineering venue that gives attendees the unique opportunity to discuss challenges and opportunities with quantum researchers, scientists, engineers, entrepreneurs, developers, students, practitioners, educators, programmers, and newcomers.

Institute for Pure and Applied Mathematics (IPAM), UCLA

The recent development of quantum algorithms has significantly pushed forward the frontier of using quantum computers for performing a wide range of scientific computing problems. This includes solving numerical linear algebra tasks for very large matrices, such as solving linear systems, eigenvalue decomposition, singular value decomposition, matrix function evaluation etc, as well as solving certain high dimensional linear and nonlinear differential equations, such as heat equations and wave equations. This workshop aims to bring together leading experts across different disciplines, including experts in solving related tasks using classical computers that can potentially inspire the development of new quantum algorithms; discuss recent progress made in the development of quantum algorithms for linear algebra and differential equations and the advances in classical algorithms; foster the discussion and pave the path towards identifying and overcoming challenging problems in science and engineering and for various industrial and technological applications.

Part of the Long Program Mathematical and Computational Challenges in Quantum Computing

Information Theory, Foundations of Computer Science,    Quantum Mechanics and Quantum Information Theory

Institute for Pure and Applied Mathematics (IPAM), UCLA

What will quantum computers be useful for once we have them? Machine learning and optimization would be important applications if quantum computers were useful for them, but the level of quantum benefit is unknown. One aim of the workshop is to bring together experts in classical and quantum machine learning to discuss the role of mathematical proof as well as experimentation in understanding these topics. A second aim is to explore how classical machine learning techniques can help us build better quantum computers.

Part of the Long Program Mathematical and Computational Challenges in Quantum Computing

Information Theory, Foundations of Computer Science,    Quantum Mechanics and Quantum Information Theory

Institute for Pure and Applied Mathematics (IPAM), UCLA

The ability to create and manipulate complex quantum states offers the potential for dramatic increases in computational power, measurement sensitivity, and information security. Understanding the dynamics of such entangled many-body states raises a number of mathematical and physical questions, as such states often lie beyond standard approximate descriptions used in different areas of physics. This workshop is devoted to the related problems of how quantum and classical computers can be used to attack important problems in many-body quantum mechanics across application domains. While the faithful representation of full many-particle Hilbert spaces on a classical computer is exponentially costly, efficient approximate representations for specific purposes have been discovered, such as tensor networks. Studying the dynamics of quantum computers in the current NISQ area leads naturally to questions of robustness and control.

Part of the Long Program Mathematical and Computational Challenges in Quantum Computing

Information Theory, Foundations of Computer Science,    Quantum Mechanics and Quantum Information Theory