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Machine Learning Force Fields Decipher Carboxylate Ligand Binding on CdSe Quantum Dots
Quantum Oscillations Persist in Zirconium Pentatelluride Beyond Theoretical Limits
Theoretical Breakthrough: Suppressing Quantum Collapse via Interparticle Repulsion
Overcoming Connectivity Hurdles: New Quantum Error Correction Codes for Modular Architectures
DOD Seeks Software-Only Encryption Solutions for Post-Quantum Transition - MeriTalk
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Quantum low-density lattice codes
Gottesman-Kitaev-Preskill (GKP) codes provide a family of promising schemes for encoding discrete quantum information (qudits) into infinite-dimensional bosonic modes based on mathematical lattices. While such codes, when concatenated with discrete-variable codes, are relatively well studied, the construction and decoding of native GKP codes has largely remained open due to the computationally hard problems encountered. To address this challenge...
Shuttling-aware dynamical decoupling for quantum charge-coupled devices
Dynamical decoupling (DD) helps maintain high-fidelity quantum computations by suppressing dephasing noise through carefully timed refocusing pulses. In quantum charge-coupled device (QCCD) architectures, however, where ions are shuttled throughout the device, transport constrains when pulses can be applied and affects the phase accumulated by an ion. Conventional DD methods do not account for shuttling and may therefore schedule pulses that mus...
Quantum Computing Demonstrates Utility-Scale Performance in Image Processing and Classification
Researchers have successfully demonstrated the application of quantum computing to handle image loading and classification tasks at a utility scale. This milestone highlights the practical viability of quantum algorithms in processing complex visual data.