

Condensed matter physics is the branch of physics that studies systems of very large numbers of particles in a condensed state, like solids or liquids. Condensed matter physics wants to answer questions like: why is a material magnetic? Or why is it insulating or conducting? Or new, exciting questions like: what materials are good to make a reliable quantum computer? Can we describe gravity as the behavior of a material? The behavior of a system with many particles is very different from that of its individual particles. We say that the laws of many body physics are emergent or collective. Emergence explains the beauty of physics laws.
Di Luo Massachusetts Institute of Technology (MIT)
Eliska Greplova Delft University of Technology
Christine Muschik Institute for Quantum Computing (IQC)
Barbara Soda Perimeter Institute for Theoretical Physics
Dalila Pirvu Perimeter Institute for Theoretical Physics
Ian Moss Newcastle University
Jorg Schmiedmayer Technical University of Vienna
Juan Carrasquilla Vector Institute for Artificial Intelligence
Marcel Franz University of British Columbia
Ziliang Ye University of British Columbia
Juan Carrasquilla Vector Institute for Artificial Intelligence
Han Ma Perimeter Institute for Theoretical Physics
Yong-Baek Kim University of Toronto
Roger Melko University of Waterloo
Emilie Huffman Perimeter Institute for Theoretical Physics
Shailesh Chandrasekharan Duke University
Ribhu Kaul University of Kentucky
Senthil Todadri Massachusetts Institute of Technology (MIT) - Department of Physics
Senthil Todadri Massachusetts Institute of Technology (MIT) - Department of Physics
Johann Ostmeyer University of Liverpool
Christoff Gatringer FWF Austrian Science Fund
Rajamani Narayanan Florida International University
Rajamani Narayanan Florida International University
Aaron Szasz Lawrence Berkeley National Laboratory
Aaron Szasz Lawrence Berkeley National Laboratory
Aaron Szasz Lawrence Berkeley National Laboratory
Aaron Szasz Lawrence Berkeley National Laboratory
Aaron Szasz Lawrence Berkeley National Laboratory
Aaron Szasz Lawrence Berkeley National Laboratory
Aaron Szasz Lawrence Berkeley National Laboratory
Aaron Szasz Lawrence Berkeley National Laboratory
Michael Hermele University of Colorado Boulder
John McGreevy University of California, San Diego
Monika Schleier-Smith Stanford University
Subir Sachdev Harvard University
Pablo Jarillo-Herrero Massachusetts Institute of Technology (MIT) - Center for Extreme Quantum Information Theory (xQIT)
Xie Chen California Institute of Technology
Alioscia Hamma Università degli Studi di Napoli Federico II
Alioscia Hamma Università degli Studi di Napoli Federico II
Alioscia Hamma Università degli Studi di Napoli Federico II
Alioscia Hamma Università degli Studi di Napoli Federico II
Alioscia Hamma Università degli Studi di Napoli Federico II
Alioscia Hamma Università degli Studi di Napoli Federico II
Alioscia Hamma Università degli Studi di Napoli Federico II
Alioscia Hamma Università degli Studi di Napoli Federico II
Alioscia Hamma Università degli Studi di Napoli Federico II
Alioscia Hamma Università degli Studi di Napoli Federico II
Chong Wang Perimeter Institute for Theoretical Physics
Chong Wang Perimeter Institute for Theoretical Physics
Chong Wang Perimeter Institute for Theoretical Physics
Chong Wang Perimeter Institute for Theoretical Physics
Chong Wang Perimeter Institute for Theoretical Physics
Chong Wang Perimeter Institute for Theoretical Physics
Chong Wang Perimeter Institute for Theoretical Physics
Chong Wang Perimeter Institute for Theoretical Physics
Jaume Gomis Perimeter Institute for Theoretical Physics
Leonardo Rastelli Stony Brook University
Madalena Lemos European Organization for Nuclear Research (CERN)
Francesco Benini SISSA International School for Advanced Studies
Rong-Xin Miao Sun Yat-Sen University
Prem Kumar Swansea University
Nathan Seiberg Institute for Advanced Study (IAS)
This course will cover quantum phases of matter, with a focus on long-range entangled states, topological states, and quantum criticality.
Machine learning techniques are rapidly being adopted into the field of quantum many-body physics, including condensed matter theory, experiment, and quantum information science. The steady increase in data being produced by highly-controlled quantum experiments brings the potential of machine learning algorithms to the forefront of scientific advancement. Particularly exciting is the prospect of using machine learning for the discovery and design of molecules, quantum materials, synthetic matter, and computers. In order to make progress, the field must address a number of fundamental questions related to the challenges of studying many-body quantum mechanics using classical computing algorithms and hardware.
The goal of this conference is to bring together experts in computational physics, machine learning, and quantum information, to make headway on a number of related topics, including:
- Data-drive quantum state reconstruction
- Machine learning strategies for quantum error correction and quantum control
- Neural-network inspired wavefunctions
- Near-term prospects for data from quantum devices
- Machine learning for quantum algorithm discovery
Territorial Land Acknowledgement
Perimeter Institute acknowledges that it is situated on the traditional territory of the Anishinaabe, Haudenosaunee, and Neutral peoples.
Perimeter Institute is located on the Haldimand Tract. After the American Revolution, the tract was granted by the British to the Six Nations of the Grand River and the Mississaugas of the Credit First Nation as compensation for their role in the war and for the loss of their traditional lands in upstate New York. Of the 950,000 acres granted to the Haudenosaunee, less than 5 percent remains Six Nations land. Only 6,100 acres remain Mississaugas of the Credit land.
We thank the Anishinaabe, Haudenosaunee, and Neutral peoples for hosting us on their land.
This meeting will bring together researchers from the quantum technology, atomic physics, and fundamental physics communities to discuss how quantum simulation can be used to gain new insight into the physics of black holes and the early Universe. The core program of the workshop is intended to deepen collaboration between the UK-based Quantum Simulators for Fundamental Physics (QSimFP; https://www.qsimfp.org) consortium and researchers at Perimeter Institute and neighbouring institutions. The week-long conference will consist of broadly-accessible talks on work within the consortium and work within the broader community of researchers interested in quantum simulation, as well as a poster session and ample time for discussion and collaboration
Territorial Land Acknowledgement
Perimeter Institute acknowledges that it is situated on the traditional territory of the Anishinaabe, Haudenosaunee, and Neutral peoples.
Perimeter Institute is located on the Haldimand Tract. After the American Revolution, the tract was granted by the British to the Six Nations of the Grand River and the Mississaugas of the Credit First Nation as compensation for their role in the war and for the loss of their traditional lands in upstate New York. Of the 950,000 acres granted to the Haudenosaunee, less than 5 percent remains Six Nations land. Only 6,100 acres remain Mississaugas of the Credit land.
We thank the Anishinaabe, Haudenosaunee, and Neutral peoples for hosting us on their land.
In this mini course, I shall introduce the basic concepts in 2D topological orders by studying simple models of topological orders and then introduce topological quantum computing based on Fibonacci anyons. Here is the (not perfectly ordered) syllabus.
The goal of this conference is for quantum matter researchers at Perimeter, University of British Columbia, and University of Toronto to share their recent work with each other, to facilitate discussion and collaboration.
Territorial Land Acknowledgement
Perimeter Institute acknowledges that it is situated on the traditional territory of the Anishinaabe, Haudenosaunee, and Neutral peoples.
Perimeter Institute is located on the Haldimand Tract. After the American Revolution, the tract was granted by the British to the Six Nations of the Grand River and the Mississaugas of the Credit First Nation as compensation for their role in the war and for the loss of their traditional lands in upstate New York. Of the 950,000 acres granted to the Haudenosaunee, less than 5 percent remains Six Nations land. Only 6,100 acres remain Mississaugas of the Credit land.
We thank the Anishinaabe, Haudenosaunee, and Neutral peoples for hosting us on their land.
Boundaries and defects play central roles in quantum field theory (QFT) both as means to make contact with nature and as tools to constrain and understand QFT itself. Boundaries in QFT can be used to model impurities and also the finite extent of sample sizes while interfaces allow for different phases of matter to interact in a controllable way. More formally these structures shed light on the structure of QFT by providing new examples of dualities and renormalization group flows. Broadly speaking this meeting will focus on three areas: 1) formal and applied aspects of boundary and defect conformal field theory from anomalies and c-theorems to topological insulators 2) supersymmetry and duality from exact computations of new observables to the construction of new theories and 3) QFT in curved space and gravity from holographic computations of entanglement entropy to ideas in quantum information theory. Registration for this event is now open.