Quantumnas: Noise-adaptive search for robust quantum circuits
Quantum noise is the key challenge in Noisy Intermediate-Scale Quantum (NISQ)
computers. Previous work for mitigating noise has primarily focused on gate-level or pulse …
computers. Previous work for mitigating noise has primarily focused on gate-level or pulse …
Quest: Graph transformer for quantum circuit reliability estimation
Among different quantum algorithms, PQC for QML show promises on near-term devices. To
facilitate the QML and PQC research, a recent python library called TorchQuantum has been …
facilitate the QML and PQC research, a recent python library called TorchQuantum has been …
Qoc: quantum on-chip training with parameter shift and gradient pruning
Parameterized Quantum Circuits (PQC) are drawing increasing research interest thanks to
its potential to achieve quantum advantages on near-term Noisy Intermediate Scale …
its potential to achieve quantum advantages on near-term Noisy Intermediate Scale …
DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting
Quantum hardware suffers from high error rates and noise, which makes directly running
applications on them ineffective. Quantum Error Correction (QEC) is a critical technique …
applications on them ineffective. Quantum Error Correction (QEC) is a critical technique …
Hybrid gate-pulse model for variational quantum algorithms
Current quantum programs are mostly synthesized and compiled on the gate-level, where
quantum circuits are composed of quantum gates. The gate-level workflow, however …
quantum circuits are composed of quantum gates. The gate-level workflow, however …
Hyperparameter importance and optimization of quantum neural networks across small datasets
As restricted quantum computers become available, research focuses on finding meaningful
applications. For example, in quantum machine learning, a special type of quantum circuit …
applications. For example, in quantum machine learning, a special type of quantum circuit …
Robuststate: Boosting fidelity of quantum state preparation via noise-aware variational training
Quantum state preparation, a crucial subroutine in quantum computing, involves generating
a target quantum state from initialized qubits. Arbitrary state preparation algorithms can be …
a target quantum state from initialized qubits. Arbitrary state preparation algorithms can be …
The imitation game: Leveraging copycats for robust native gate selection in nisq programs
Quantum programs are written in high-level languages, whereas quantum hardware can
only execute low-level native gates. To run programs on quantum systems, each high-level …
only execute low-level native gates. To run programs on quantum systems, each high-level …
Q-Pilot: field programmable quantum array compilation with flying ancillas
Neutral atom arrays have become a promising platform for quantum computing, especially
the\textit {field programmable qubit array}(FPQA) endowed with the unique capability of …
the\textit {field programmable qubit array}(FPQA) endowed with the unique capability of …
Robustanalog: Fast variation-aware analog circuit design via multi-task rl
Analog/mixed-signal circuit design is one of the most complex and time-consuming stages in
the whole chip design process. Due to various process, voltage, and temperature (PVT) …
the whole chip design process. Due to various process, voltage, and temperature (PVT) …