We consider a two-reservoir model of quantum error correction with a hot bath causing errors in the qubits and a cold bath cooling the ancilla qubits to a fiducial state. We consider error correction protocols both with and without measurement of the ancilla state. The error correction acts as a kind of refrigeration process to maintain the data qubits in a low entropy state by periodically moving the entropy to the ancilla qubits and then to the cold reservoir. We quantify the performance of the error correction as a function of the reservoir temperatures and cooling rate by means of the fidelity and the residual entropy of the data qubits. We also make a comparison with the continuous quantum error correction model of Sarovar and Milburn [Phys. Rev. A 72, 012306 (2005)].
We consider a two-reservoir model of quantum error correction with a hot bath causing errors in the qubits and a cold bath cooling the ancilla qubits to a fiducial state. We consider error correction protocols both with and without measurement of the ancilla state. The error correction acts as a kind of refrigeration process to maintain the data qubits in a low entropy state by periodically moving the entropy to the ancilla qubits and then to the cold reservoir. We quantify the performance of the error correction as a function of the reservoir temperatures and cooling rate by means of the fidelity and the residual entropy of the data qubits. We also make a comparison with the continuous quantum error correction model of Sarovar and Milburn [Phys. Rev. A 72, 012306 (2005)].
Methods to control errors will be essential for quantum information processing. It is widely believed that fault-tolerant quantum error correction is the leading contender to achieve this goal. Although the theory of fault-tolerant quantum error correction is very well understood, experimental implementation has been lagging. We study the feasibility of implementing repeated rounds of quantum error correction with refreshed ancillas in solid state nuclear magnetic resonance (NMR). In particular we study the procedure proposed for extracting entropy that consists of two stages; an error correcting code optimized to function at finite temperature, and an implementation of heat-bath algorithmic cooling to refresh the ancilla qubits. Two algorithms are presented which implement this method, one for performing tests on 4 qubits, the other for practical implementation on 6 qubits. The effects of imperfect implementation are examined in both the error correction and refreshing stages.
We investigate continuous quantum error correction, comparing performance under a Markovian error model to two distinct non-Markovian models. The first non-Markovian model involves an interaction Hamiltonian between the system and an environmental qubit via an X-X coupling, with a "cooling" bath acting on the environment qubit. This model is known to exhibit abrupt transitions between Markovian and non-Markovian behavior. The second non-Markovian model uses the post-Markovian master equation (PMME), which represents the bath correlation through a memory kernel; we consider an exponentially decaying kernel and both underdamped and overdamped dynamics. We systematically compare these non-Markovian error models against the Markovian case and against each other, for a variety of different codes. We start with a single qubit, which can be solved analytically. We then consider the three-qubit repetition code and the five-qubit "perfect" code. In all cases, we find that the fidelity decays more rapidly in the Markovian case than in either non-Markovian model, suggesting that continuous quantum error correction has enhanced performance against non-Markovian noise. We attribute this difference to the presence of a quantum Zeno regime in both non-Markovian models.
Most quantum error-correcting codes are predicated on the assumption that there exists a reservoir of qubits in the state $|0\ensuremath{\rangle}$ which can be used as ancilla qubits to prepare multiqubit logical states. In this Brief Report, we examine the consequences of relaxing this assumption and propose a method to increase the fidelity produced by a given code when the ancilla qubits are initialized in mixed states, using the same number of qubits, at most doubling the number of gates when the recovery operation would already be implemented. The procedure implemented consists of altering the encoding operator to include the inverse of the unitary operation used to correct detected errors after decoding. This augmentation will be especially useful in quantum computing architectures that do not possess projective measurement, such as solid-state NMR quantum information processing.
The aim of quantum error correction (QEC) is to counteract the decoherence of qubits,which arises from their unavoidable interaction with the environment. In this work, westudy the lower bound of entropy production in quantum error correction, asking the cen-tral question: Is it possible to fight decoherence in a reversible way?A previous work established that ideal quantum error correction can, in principle,be performed reversibly. In this work, however, we consider fault-tolerant quantum errorcorrection, which explicitly accounts for faults occurring during the correction processitself. We show that when noise affects the circuit during the error-correcting operations,quantum error correction can no longer be reversible, because of unused correlations thatmust be dissipated at each correction cycle.This result can be better understood by drawing an analogy with Maxwell’s demon.In quantum error correction, the goal is to remove entropy from the data qubits. Ancillaryqubits are used to record the occurrence of errors (syndrome diagnosis), and this infor-mation is then employed to correct them (recovery operation). At the end of each cycle,the ancillary qubits are reset in order to start a new cycle. This is closely analogous to aMaxwell demon, which uses a memory to store information about a system, exploits thatinformation to reduce the system’s entropy, and finally resets its memory, dissipating heatinto the environment in accordance with Landauer’s principle.In this analogy, the demon’s memory corresponds to the ancillary qubits, while thesystem corresponds to the data qubits. During syndrome diagnosis, information aboutthe errors is recorded in the ancillary qubits, creating some correlations between dataand ancillary qubits. In the recovery operation, these correlations are used to correctthe errors on the data qubits and thus reduce their entropy. At the end of the cycle, theancillary qubits are reset to |0⟩, which generates a heat flow to the environment as dictatedby Landauer’s principle.For ideal quantum error correction, this process can, in principle, be performed re-versibly, thereby reaching equality in Landauer’s bound.However, when errors occur on the ancillary qubits during the QEC process (in the lan-guage of Maxwell’s demon, when faults affect the demon’s memory before the feedbackstep) these errors propagate to the data qubits, creating unwanted correlations betweendata and ancillas. Such correlations generate an additional finite heat flow to the bath,that prevents reaching equality in Landauer’s principle.
It was shown by Ahn, Wiseman, and Milburn [Phys. Rev. A 67, 052310 (2003)] that feedback control could be used as a quantum error correction process for errors induced by weak continuous measurement, given one perfectly measured error channel per qubit. Here we point out that this method can be easily extended to an arbitrary number of error channels per qubit. We show that the feedback protocols generated by our method encode $n\ensuremath{-}2$ logical qubits in n physical qubits, thus requiring just one more physical qubit than in the previous case.
Quantum Information
Successful protocols for quantum information processing and quantum computation depend on the reliable storage and manipulation of the quantum state of a qubit. Qubits, however, are prone to errors because complete isolation from the environment is not possible. Methods for correcting these errors must also contend with the fact that direct measurement of a qubit destroys it. Xue et al. describe a repetitive quantum nondemolition method on a two-qubit system in which the state of the main qubit is mapped onto a second qubit that acts as an ancilla. Repeated measurement of the ancilla qubit allows the main qubit to be maintained and read out with higher fidelity. Such a protocol provides a route to robust quantum information processing in solid-state systems.
Phys. Rev. X 10 , 021006 (2020).