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Quantum error correction with superconducting qubits
Quantum error correction with superconducting qubits





quantum error correction with superconducting qubits
  1. QUANTUM ERROR CORRECTION WITH SUPERCONDUCTING QUBITS FULL
  2. QUANTUM ERROR CORRECTION WITH SUPERCONDUCTING QUBITS CODE

T1 - Hardware-Efficient Leakage-Reduction Scheme for Quantum Error Correction with Superconducting Transmon Qubits This LRU scheme opens the prospect for near-term scalable QEC demonstrations.", Furthermore, we show that this leads to a significant reduction of the logical error rate. Using density-matrix simulations of the distance-3 surface code, we show that the average leakage lifetime is reduced to almost one QEC cycle, even when the LRUs are implemented with limited fidelity. For ancilla qubits, we apply a |1↔|2π pulse conditioned on the measurement outcome.

quantum error correction with superconducting qubits

For data qubits, we consider a microwave drive to transfer leakage to the readout resonator, where it quickly decays, ensuring that this negligibly disturbs the computational states for realistic system parameters.

quantum error correction with superconducting qubits

We propose a scheme using two leakage-reduction units (LRUs) that mitigate these issues for a transmon-based surface code, without requiring an overhead in terms of hardware or QEC-cycle time as in previous proposals. This LRU scheme opens the prospect for near-term scalable QEC demonstrations.Ībstract = "Leakage outside of the qubit computational subspace poses a threatening challenge to quantum error correction (QEC). Let us know how this access is important for you.Leakage outside of the qubit computational subspace poses a threatening challenge to quantum error correction (QEC). Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. The results demonstrate that Josephson quantum computing is a high-fidelity technology, with a clear path to scaling up to large-scale, fault-tolerant quantum circuits.

QUANTUM ERROR CORRECTION WITH SUPERCONDUCTING QUBITS FULL

As a further demonstration, we construct a five-qubit Greenberger-Horne-Zeilinger state using the complete circuit and full set of gates. Our quantum processor is a first step towards the surface code, using five qubits arranged in a linear array with nearest-neighbour coupling.

QUANTUM ERROR CORRECTION WITH SUPERCONDUCTING QUBITS CODE

This places Josephson quantum computing at the fault-tolerance threshold for surface code error correction. Here we demonstrate a universal set of logic gates in a superconducting multi-qubit processor, achieving an average single-qubit gate fidelity of 99.92 per cent and a two-qubit gate fidelity of up to 99.4 per cent. The gate fidelity requirements are modest: the per-step fidelity threshold is only about 99 per cent. For superconducting qubits, the surface code approach to quantum computing is a natural choice for error correction, because it uses only nearest-neighbour coupling and rapidly cycled entangling gates. Superconductivity is a useful phenomenon in this regard, because it allows the construction of large quantum circuits and is compatible with microfabrication. Quantum error correction provides this protection by distributing a logical state among many physical quantum bits (qubits) by means of quantum entanglement. A quantum computer can solve hard problems, such as prime factoring, database searching and quantum simulation, at the cost of needing to protect fragile quantum states from error.







Quantum error correction with superconducting qubits