Performance Analysis of a Repetition Cat Code Architecture: Computing
256-bit Elliptic Curve Logarithm in 9 Hours with 126133 Cat Qubits
- URL: http://arxiv.org/abs/2302.06639v2
- Date: Fri, 4 Aug 2023 17:12:51 GMT
- Title: Performance Analysis of a Repetition Cat Code Architecture: Computing
256-bit Elliptic Curve Logarithm in 9 Hours with 126133 Cat Qubits
- Authors: \'Elie Gouzien, Diego Ruiz, Francois-Marie Le R\'egent, J\'er\'emie
Guillaud, Nicolas Sangouard
- Abstract summary: Cat qubits provide appealing building blocks for quantum computing.
We quantify the cost of a repetition code and provide valuable guidance for the choice of a large scale architecture using cat qubits.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Cat qubits provide appealing building blocks for quantum computing. They
exhibit a tunable noise bias yielding an exponential suppression of bit flips
with the average photon number and a protection against the remaining phase
errors can be ensured by a simple repetition code. We here quantify the cost of
a repetition code and provide valuable guidance for the choice of a large scale
architecture using cat qubits by realizing a performance analysis based on the
computation of discrete logarithms on an elliptic curve with Shor's algorithm.
By focusing on a 2D grid of cat qubits with neighboring connectivity, we
propose to implement 2-qubit gates via lattice surgery and Toffoli gates with
off-line fault-tolerant preparation of magic states through projective
measurements and subsequent gate teleportations. All-to-all connectivity
between logical qubits is ensured by routing qubits. Assuming a ratio between
single- and two-photon losses of 1e-5 and a cycle time of 500 ns, we show
concretely that such an architecture can compute a 256-bit elliptic curve
logarithm in 9 h with 126133 cat qubits and on average 19 photons by cat state.
We give the details of the realization of Shor's algorithm so that the proposed
performance analysis can be easily reused to guide the choice of architecture
for others platforms.
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