Computing with Many Encoded Logical Qubits Beyond Break-Even at ԹϺ
Live Webinar
Date: July 7th, 2026
Session 1: 9am MT | 11am ET | 4pm BST
Session 2: 4pm MT | 6pm ET | 11pm BST
In this webinar, Dr. Matthew DeCross will discuss our recent advances in fault-tolerant computing, including our better-than-physical logical fidelities, our 2:1 encoding rate, and a simulation of quantum magnetism with 64 error-detected qubits, one of the industry's first meaningful logically-encoded simulations at a large scale.
Register for this webinar to gain an understanding of how to successfully compute with many encoded logical qubits beyond break-even.
Speaker Details
Dr. Matthew DeCross has worked for the past five years researching and implementing quantum algorithms. He received a B.S. in Physics and Mathematics from MIT and his PhD in Physics (2021) from the University of Pennsylvania studying quantum entanglement structure and quantum circuit complexity in AdS/CFT. At ԹϺ, he has led work on , and from random circuit sampling, and . He has also contributed to benchmarking work on ԹϺ's and trapped-ion quantum computers and other near-term algorithms and applications in topics such as , , and .
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Dr. Michael Foss Feig
Michael is a fellow physicist at ԹϺ working on theoretical aspects quantum computation with trapped ions. His research is currently focused mainly on near-term applications of quantum computers, especially to solving problems in quantum many-body physics. Before joining ԹϺ, Michael worked on a variety of topics at the interface of atomic physics, quantum optics, condensed-matter physics, and quantum information.