Conferences  >  Physics  >  Quantum Mechanics and Quantum Information Theory  >  United States

Over the last decade or so, the field of quantum biology has been propelled by experimental and theoretical efforts that have led to remarkable discoveries at the interfaces of traditional disciplines (e.g., biology, chemistry and physics). Evidence suggests that subtle quantum effects may shape biological processes and functions in living organisms, as exemplified by photosynthesis, enzyme catalysed reactions, and magnetic field effects on spin-dependent reactions in biology, to name a few. This is an exciting and emerging science of the 21st century, where there are many fascinating, fundamental questions that will inspire new ways to better understand and enhance health and medicine.

Emerging Methodologies to Investigate Quantum Effects in Biology

Molecular Biology,    Physical (Theoretical) Chemistry, Computational Chemistry

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 Information Theory and Quantum Computing

SPIE - The International Society for Optics and Photonics

Quantum 2.0—from fundamental research on superposition and entanglement through work being done to commercialize quantum technologies based on these principles

Optics and Lasers,    Photonics, Optoelectronics and Display Devices

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.

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

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 Information Theory and Quantum Computing

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.

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

For this year the Byron Bay Quantum (BBQ) Workshop will take place in Boulder Colorado. Hence it will be the Bolder Boulder Quantum Workshop. The BBQ Workshop is a focused workshop that brings together leading researchers and early career experts to discuss progress and solve problems in a specific area. Typically, the workshop is intentionally informal to encourage collaboration between participants. We can learn from each other and use our collective expertise to identify and solve interesting problems.

2023 Focus: Bosonic Error-Correction & Novel Qubits

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.

Software Engineering,    Quantum Information Theory and Quantum Computing

Coherent control aims to steer quantum systems towards desired final states through its interaction with light. Recent years have witnessed rapid acceleration of research activity in the field. Along with new theoretical control strategies, latest advances in nonlinear optics and ultrafast laser technology have enabled spatial and temporal coherence of light to be extended through to the UV and X-ray regions. The possibility of engineering and tailoring coherent waveforms is paving the way to novel discoveries in a number of scientific disciplines at the interface between physics, chemistry and biology. Promising applications include the development and control of quantum materials and metamaterials, control of chiral matter, and high-precision spectroscopy on ultrafast time scales.

Theoretical and Experimental Techniques for Coherent Quantum Control With Strong Fields

Optics and Lasers,    Condensed Matter Physics and Materials

The conference will focus on the two paradigms, quantum control and quantum technology, which are highly interconnected and merging together very rapidly. The development of the general principles of quantum control is essential for future quantum technology. Quantum control deals primarily with the interaction of laser light with matter. The objective of the control is to modify the state of matter or the course of a chemical or physical process. These control tasks require “intelligent” light fields, which have to be highly controllable in frequency, phase, and intensity.

Diversity and Synergetic in Quantum Control and Quantum Technology

Optics and Lasers,    Condensed Matter Physics and Materials

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 Information Theory and Quantum Computing

UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)

The exceptional gain in precision quantum metrology (QM) enabled new application of quantum sensors to studies of fundamental physics ranging from dark matter searches to detection of gravitational waves. These new developments involve surprising and unexpected connections between QM methods and other quite different fields of physics. The conference will bring together scientists in very different subfields, connecting optics to condensed matter to atomic physics and quantum information to particle and gravitational physics. A major objective is to provide a platform for cross fertilization between theory and experiment and between different research areas to prompt new scientific discoveries. The conference aims to promote collaboration between particle physics experts working on the design and interpretation of fundamental physics studies with quantum technologies and discussing new ideas in QM for future applications.

Metrology and Instrumentation,    Quantum materials, Low Temperature Physics

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 Information Theory and Quantum Computing

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 Information Theory and Quantum Computing

Institute for Pure and Applied Mathematics (IPAM), UCLA

The goal of finding better quantum error correcting codes gains motivation not just in fault tolerant quantum computing, but also for attacking major open questions in quantum complexity theory. This workshop will bring together leading researchers working on both the areas, with the aim of making progress on questions such as the quantum PCP conjecture, better quantum LDPC codes, quantum local testability and tests for quantumness.

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

UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)

This conference will bring experts from different disciplines of physics and foster an active and productive interaction and discussion on various open questions regarding strongly correlated gapless quantum many-body systems. The concentrated schedule of the conference will enable participation of condensed matter experimentalists and create a platform for productive exchanges with theorists.