Experimental demonstration of continuous quantum error correction
- URL: http://arxiv.org/abs/2107.11398v1
- Date: Fri, 23 Jul 2021 18:00:55 GMT
- Title: Experimental demonstration of continuous quantum error correction
- Authors: William P. Livingston, Machiel S. Blok, Emmanuel Flurin, Justin
Dressel, Andrew N. Jordan, and Irfan Siddiqi
- Abstract summary: We implement a continuous quantum bit-flip correction code in a multi-qubit architecture.
We achieve an average bit-flip detection efficiency of up to 91%.
Our results showcase resource-efficient stabilizer measurements in a multi-qubit architecture.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The storage and processing of quantum information are susceptible to external
noise, resulting in computational errors that are inherently continuous A
powerful method to suppress these effects is to use quantum error correction.
Typically, quantum error correction is executed in discrete rounds where errors
are digitized and detected by projective multi-qubit parity measurements. These
stabilizer measurements are traditionally realized with entangling gates and
projective measurement on ancillary qubits to complete a round of error
correction. However, their gate structure makes them vulnerable to errors
occurring at specific times in the code and errors on the ancilla qubits. Here
we use direct parity measurements to implement a continuous quantum bit-flip
correction code in a resource-efficient manner, eliminating entangling gates,
ancilla qubits, and their associated errors. The continuous measurements are
monitored by an FPGA controller that actively corrects errors as they are
detected. Using this method, we achieve an average bit-flip detection
efficiency of up to 91%. Furthermore, we use the protocol to increase the
relaxation time of the protected logical qubit by a factor of 2.7 over the
relaxation times of the bare comprising qubits. Our results showcase
resource-efficient stabilizer measurements in a multi-qubit architecture and
demonstrate how continuous error correction codes can address challenges in
realizing a fault-tolerant system.
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