Real-Time Decoding for Fault-Tolerant Quantum Computing: Towards higher decoding speed and lower communication latency
ORAL
Abstract
Real-time decoding at the logical clock speed will be essential for universal fault-tolerant quantum computers. However, the short QEC cycle (<1 microsecond for superconducting qubits) poses enormous challenges. We examine the two issues that need to be addressed to overcome that: decoding speed and communication latency. We illustrate a review of current efforts on decoder algorithms and perspectives for the next few years aimed at achieving sufficient speed while maintaining good accuracy. In particular, we discuss the challenges at the level of the algorithm itself, its applicability (quantum memory, lattice surgery), the software stack, computational resources (FPGA/ASIC), as well as codesign across these aspects.
To address the communication-latency issue, Qblox proposes and implements a distributed control-stack architecture where measurement outcomes and Pauli-frame updates are shared within a few hundreds of nanoseconds. This architecture includes and interfaces to a specialized module for running user-defined decoding algorithms.
To address the communication-latency issue, Qblox proposes and implements a distributed control-stack architecture where measurement outcomes and Pauli-frame updates are shared within a few hundreds of nanoseconds. This architecture includes and interfaces to a specialized module for running user-defined decoding algorithms.
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Presenters
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Francesco Battistel
Qblox
Authors
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Francesco Battistel
Qblox
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Muhammad Usman
The University of Melbourne and Data61/CSIRO
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Christopher Chamberland
Amazon Web Services, AWS Center for Quantum Computing, Amazon Web Services (AWS)
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Swamit Tannu
University of Wisconsin - Madison
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Ramon W Overwater
Delft University of Technology, Quantum and Computer Engineering, and QuTech
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Fabio Sebastiano
Delft University of Technology, Quantum and Computer Engineering, and QuTech, Delft University of Technology
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Yosuke Ueno
University of Tokyo and TU Munich
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Luka Skoric
Riverlane
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Jordy Gloudemans
Qblox, Qblox bv
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Damaz de Jong
Qblox, Qblox bv
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Wouter Vlothuizen
Qblox, Qblox bv
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Jules van Oven
Qblox, Qblox bv
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Cornelis Christiaan Bultink
Qblox, Qblox bv