Various systems and methods are presented herein regarding automatically utilizing characterized codes to characterize an undefined code. The undefined code can be computer …
Building on our earlier program-evolution workflow guided by large language models (LLMs), we study weight-five bivariate bicycle (BB) and perturbed bivariate bicycle (PBB) codes. …
Quantum programs can suffer from quantum-specific code smells that cannot be captured by unit tests. We propose a framework that analyzes the existing programs released in two …
One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to implementing zero noise extrapolation without folding. …
A method, computer program product, and system for routing quantum circuits. A structure of a quantum circuit to route is encoded in an environment using a reinforcement learning …
One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to predictive profiling of quantum environments. The …
Quantum LDPC code discovery requires searching large algebraic design spaces while reliably certifying the parameters and equivalence classes of any candidates found. We present a …
We adapt Microsoft's QuantumKatas - a well-established quantum computing curriculum - from Q# to Qiskit, the most widely-adopted quantum computing framework, and package it with an …
Systems and techniques that facilitate intelligent unitary synthesis for quantum computing are provided. For example, a system can access a unitary matrix of a quantum payload …
A computer-implemented system with machine learning capabilities designed to address quantum computing challenges. The system's recommendation component employs a machine learning …