Experimental Upper Bounds for Resonance-Enhanced Entangled Two-Photon Absorption Cross Section of Indocyanine Green

Posted by dbos Caltech

Kavli Affiliate: Scott K. Cushing | First 5 Authors: Manni He, Bryce P. Hickam, Nathan Harper, Scott K. Cushing, | Summary: Resonant intermediate states have been proposed to increase the efficiency of entangled two-photon absorption (ETPA). Although resonance-enhanced ETPA (r-ETPA) has been demonstrated in atomic systems using bright squeezed vacuum, it has not been studied […]


Continue.. Experimental Upper Bounds for Resonance-Enhanced Entangled Two-Photon Absorption Cross Section of Indocyanine Green

Data Needs and Challenges of Quantum Dot Devices Automation: Workshop Report

Posted by dbos Delft

Kavli Affiliate: Eliska Greplova | First 5 Authors: Justyna P. Zwolak, Jacob M. Taylor, Reed Andrews, Jared Benson, Garnett Bryant | Summary: Gate-defined quantum dots are a promising candidate system to realize scalable, coupled qubit systems and serve as a fundamental building block for quantum computers. However, present-day quantum dot devices suffer from imperfections that […]


Continue.. Data Needs and Challenges of Quantum Dot Devices Automation: Workshop Report

Data Needs and Challenges of Quantum Dot Devices Automation: Workshop Report

Posted by dbos Delft

Kavli Affiliate: Eliska Greplova | First 5 Authors: Justyna P. Zwolak, Jacob M. Taylor, Reed Andrews, Jared Benson, Garnett Bryant | Summary: Gate-defined quantum dots are a promising candidate system to realize scalable, coupled qubit systems and serve as a fundamental building block for quantum computers. However, present-day quantum dot devices suffer from imperfections that […]


Continue.. Data Needs and Challenges of Quantum Dot Devices Automation: Workshop Report

Data needs and challenges for quantum dot devices automation

Posted by dbos Delft

Kavli Affiliate: Eliska Greplova | First 5 Authors: Justyna P. Zwolak, Jacob M. Taylor, Reed W. Andrews, Jared Benson, Garnett W. Bryant | Summary: Gate-defined quantum dots are a promising candidate system for realizing scalable, coupled qubit systems and serving as a fundamental building block for quantum computers. However, present-day quantum dot devices suffer from […]


Continue.. Data needs and challenges for quantum dot devices automation

Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Posted by dbos Berkeley

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Arnaud Carignan-Dugas, Larry Chen, Christian Juenger, Neelay Fruitwala | Summary: Quantum measurements are a fundamental component of quantum computing. However, on modern-day quantum computers, measurements can be more error prone than quantum gates, and are susceptible to non-unital errors as well as non-local correlations due […]


Continue.. Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Posted by dbos Berkeley

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Arnaud Carignan-Dugas, Larry Chen, Christian Juenger, Neelay Fruitwala | Summary: Quantum measurements are a fundamental component of quantum computing. However, on modern-day quantum computers, measurements can be more error prone than quantum gates, and are susceptible to non-unital errors as well as non-local correlations due […]


Continue.. Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Posted by dbos Berkeley

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Arnaud Carignan-Dugas, Larry Chen, Christian Juenger, Neelay Fruitwala | Summary: Quantum measurements are a fundamental component of quantum computing. However, on modern-day quantum computers, measurements can be more error prone than quantum gates, and are susceptible to nonunital errors as well as non-local correlations due […]


Continue.. Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Posted by dbos Berkeley

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Arnaud Carignan-Dugas, Larry Chen, Christian Juenger, Neelay Fruitwala | Summary: Quantum measurements are a fundamental component of quantum computing. However, on modern-day quantum computers, measurements can be more error prone than quantum gates, and are susceptible to non-unital errors as well as non-local correlations due […]


Continue.. Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Posted by dbos Berkeley

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Arnaud Carignan-Dugas, Larry Chen, Christian Juenger, Neelay Fruitwala | Summary: Quantum measurements are a fundamental component of quantum computing. However, on modern-day quantum computers, measurements can be more error prone than quantum gates, and are susceptible to non-unital errors as well as non-local correlations due […]


Continue.. Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling

Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Kai Huang, Wei Gao, , , | Summary: With the wide adoption of AI applications, there is a pressing need of enabling real-time neural network (NN) inference on small embedded devices, but deploying NNs and achieving high performance of NN inference on these small devices is challenging […]


Continue.. Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI