Abstract
The development of robust architectures capable of large-scale fault-tolerant quantum computation should consider both their quantum error-correcting codes, and the underlying physical qubits upon which they are built, in tandem. Following this design principle we demonstrate remarkable error correction performance by concatenating the XZZX surface code with Kerr-cat qubits. We contrast several variants of fault-tolerant systems undergoing different circuit noise models that reflect the physics of Kerr-cat qubits. Our simulations show that our system is scalable below a threshold gate infidelity of $p_\mathrm{CX} \sim 6.5\%$ within a physically reasonable parameter regime, where $p_\mathrm{CX}$ is the infidelity of the noisiest gate of our system; the controlled-not gate. This threshold can be reached in a superconducting circuit architecture with a Kerr-nonlinearity of $10$MHz, a $\sim 6.25$ photon cat qubit, single-photon lifetime of $\gtrsim 64\mu$s, and thermal photon population $\lesssim 8\%$. Such parameters are routinely achieved in superconducting circuits.
Highlights
A scalable quantum computer will require a large number of almost perfect qubits
We demonstrate remarkable error-correction performance by concatenating the XZZX surface code with Kerr-cat qubits
Impressive progress has been made in engineering high-quality quantum systems in the laboratory that can perform some requisite set of operations that are needed for quantum computation [1,2,3,4,5,6,7,8,9,10,11,12,13,14]
Summary
A scalable quantum computer will require a large number of almost perfect qubits. To this end, impressive progress has been made in engineering high-quality quantum systems in the laboratory that can perform some requisite set of operations that are needed for quantum computation [1,2,3,4,5,6,7,8,9,10,11,12,13,14]. The error-correction capabilities of the XZZX code complement the biased noise of the Kerr-cat qubits This motivates the present work, where we demonstrate a very robust architecture for scalable fault-tolerant quantum computing by combining Kerr-cat qubits and the XZZX code. To this end, we perform elaborate simulations for a concatenated scheme undergoing a circuit error model that reflects noise sources that have been identified in recent experimental demonstrations of Kerr-cat qubits [11]. Details of the surface-code simulation methods and some advantages of Kerr-cat qubits over purely-dissipative-cat qubits are included in Appendices A and B, respectively
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