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Capacity estimation and verification of quantum channels with arbitrarily correlated errors.

ABSTRACT: The central figure of merit for quantum memories and quantum communication devices is their capacity to store and transmit quantum information. Here, we present a protocol that estimates a lower bound on a channel's quantum capacity, even when there are arbitrarily correlated errors. One application of these protocols is to test the performance of quantum repeaters for transmitting quantum information. Our protocol is easy to implement and comes in two versions. The first estimates the one-shot quantum capacity by preparing and measuring in two different bases, where all involved qubits are used as test qubits. The second verifies on-the-fly that a channel's one-shot quantum capacity exceeds a minimal tolerated value while storing or communicating data. We discuss the performance using simple examples, such as the dephasing channel for which our method is asymptotically optimal. Finally, we apply our method to a superconducting qubit in experiment.

SUBMITTER: Pfister C

PROVIDER: S-EPMC5750239 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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Capacity estimation and verification of quantum channels with arbitrarily correlated errors.

Pfister Corsin C Rol M Adriaan MA Mantri Atul A Tomamichel Marco M Wehner Stephanie S

Nature communications 20180102 1

The central figure of merit for quantum memories and quantum communication devices is their capacity to store and transmit quantum information. Here, we present a protocol that estimates a lower bound on a channel's quantum capacity, even when there are arbitrarily correlated errors. One application of these protocols is to test the performance of quantum repeaters for transmitting quantum information. Our protocol is easy to implement and comes in two versions. The first estimates the one-shot ...[more]

PMID: 29295975

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Project description:OBJECTIVE:Clinicians using clinical decision support (CDS) to prescribe medications have an obligation to ensure that prescriptions are safe. One option is to verify the safety of prescriptions if there is uncertainty, for example, by using drug references. Supervisory control experiments in aviation and process control have associated errors, with reduced verification arising from overreliance on decision support. However, it is unknown whether this relationship extends to clinical decision-making. Therefore, we examine whether there is a relationship between verification behaviors and prescribing errors, with and without CDS medication alerts, and whether task complexity mediates this. METHODS:A total of 120 students in the final 2 years of a medical degree prescribed medicines for patient scenarios using a simulated electronic prescribing system. CDS (correct, incorrect, and no CDS) and task complexity (low and high) were varied. Outcomes were omission (missed prescribing errors) and commission errors (accepted false-positive alerts). Verification measures were access of drug references and view time percentage of task time. RESULTS:Failure to access references for medicines with prescribing errors increased omission errors with no CDS (high-complexity: ? 2(1)?=?12.716; p?<?0.001) and incorrect CDS (Fisher's exact; low-complexity: p?=?0.002; high-complexity: p?=?0.001). Failure to access references for false-positive alerts increased commission errors (low-complexity: ? 2(1)?=?16.673, p?<?0.001; high-complexity: ? 2(1)?=?18.690, p?<?0.001). Fewer participants accessed relevant references with incorrect CDS compared with no CDS (McNemar; low-complexity: p?<?0.001; high-complexity: p?<?0.001). Lower view time percentages increased omission (F(3, 361.914)?=?4.498; p?=?0.035) and commission errors (F(1, 346.223)?=?2.712; p?=?0.045). View time percentages were lower in CDS-assisted conditions compared with unassisted conditions (F(2, 335.743)?=?10.443; p?<?0.001). DISCUSSION:The presence of CDS reduced verification of prescription safety. When CDS was incorrect, reduced verification was associated with increased prescribing errors. CONCLUSION:CDS can be incorrect, and verification provides one mechanism to detect errors. System designers need to facilitate verification without increasing workload or eliminating the benefits of correct CDS.

Dataset Information

Capacity estimation and verification of quantum channels with arbitrarily correlated errors.

Publications

Capacity estimation and verification of quantum channels with arbitrarily correlated errors.

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