Automated error correction in superdense coding, with implementation on superconducting quantum computer
Kumar Nilesh, Piyush Joshi, and Prasanta Panigrahi

TL;DR
This paper introduces a task-specific, automated error correction method for superdense coding algorithms, implemented on superconducting quantum computers, enhancing fidelity and robustness against noise with minimal complexity increase.
Contribution
It presents a novel automated error correction technique for superdense coding using non-destructive Bell state discrimination, implemented without measurements during operation, and experimentally validated on IBM quantum hardware.
Findings
High fidelity demonstrated in experimental results
Effective error correction on 7-qubit superconducting quantum computer
Successful implementation on 27-qubit quantum simulator
Abstract
Construction of a fault-tolerant quantum computer remains a challenging problem due to unavoidable noise in quantum states and the fragility of quantum entanglement. However, most of the error-correcting codes increases the complexity of the algorithms, thereby decreasing any quantum advantage. Here we present a task-specific error-correction technique that provides a complete protection over a restricted set of quantum states. Specifically, we give an automated error correction in Superdense Coding algorithms utilizing n-qubit generalized Bell states. At its core, it is based on non-destructive discrimination method of Bell states involving measurements on ancilla qubits (phase and parity ancilla). The algorithm is shown to be distributable and can be distributed to any set of parties sharing orthogonal states. Automated refers to experimentally implementing the algorithm in a quantum…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Computability, Logic, AI Algorithms
