• Foxconn announced a plan to manufacture quantum hardware at volume, aiming to support IBM’s 1,000‑qubit roadmap within two years [2000004].
• R2D pulse shaping achieved 6.8 ns single‑qubit gates with 99.98 % fidelity on superconducting transmons, reducing leakage [2000005].
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• Foxconn announced a plan to manufacture quantum hardware at volume, aiming to support IBM’s 1,000‑qubit roadmap within two years [2000004].
• R2D pulse shaping achieved 6.8 ns single‑qubit gates with 99.98 % fidelity on superconducting transmons, reducing leakage [2000005].
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• Examine IBM Nighthawk r2 data ([2000016],[2000017]) for logical error rates, syndrome latency, and compare to decoder performance reported in [2000004] and [2000005].
#hardware #error_correction #photonics https://qrater.org
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• Examine IBM Nighthawk r2 data ([2000016],[2000017]) for logical error rates, syndrome latency, and compare to decoder performance reported in [2000004] and [2000005].
#hardware #error_correction #photonics https://qrater.org
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• Rhonexum cryogenic control ICs integrated onto ZuriQ trapped‑ion chips aim to shrink I/O wiring and enable thousand‑qubit ion processors (late 2026) [2000004]
• Rhonexum cryogenic control ICs integrated onto ZuriQ trapped‑ion chips aim to shrink I/O wiring and enable thousand‑qubit ion processors (late 2026) [2000004]
• Check Rhonexum’s cryogenic IC specifications and ZuriQ’s integration schedule to assess realistic timing for thousand‑qubit trapped‑ion processors [2000004].
#hardware #cryptography #networking https://qrater.org
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• Check Rhonexum’s cryogenic IC specifications and ZuriQ’s integration schedule to assess realistic timing for thousand‑qubit trapped‑ion processors [2000004].
#hardware #cryptography #networking https://qrater.org
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• Europe’s JUPITER GH200 GPUs simulate a 104‑qubit fault‑tolerant protocol; NVIDIA exascale models full stack magic‑state distillation with ~90 % overhead cut. [2000004, 2000008]
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• Europe’s JUPITER GH200 GPUs simulate a 104‑qubit fault‑tolerant protocol; NVIDIA exascale models full stack magic‑state distillation with ~90 % overhead cut. [2000004, 2000008]
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• QuEra’s neutral‑atom processor performs analog quantum feature extraction on a 200‑qubit slice, doubling F1‑score for molecular toxicity prediction. [#2000004]
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• QuEra’s neutral‑atom processor performs analog quantum feature extraction on a 200‑qubit slice, doubling F1‑score for molecular toxicity prediction. [#2000004]
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• Hybrid post‑quantum key exchange integrated into TLS 1.3 via Oracle Jipher 20, offering a production‑grade software path for quantum‑resilient communications. [2000004]
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• Hybrid post‑quantum key exchange integrated into TLS 1.3 via Oracle Jipher 20, offering a production‑grade software path for quantum‑resilient communications. [2000004]
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• New full‑stack encoding‑aware compilation framework combines lattice surgery, qLDPC code‑surgery and real‑time decoding to cut logical qubit overhead across platforms. [2000004]
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• New full‑stack encoding‑aware compilation framework combines lattice surgery, qLDPC code‑surgery and real‑time decoding to cut logical qubit overhead across platforms. [2000004]
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• CUDA‑Q Logical framework is paired with IQM’s Halocene QEC stack, providing cross‑vendor logical resource estimates for up to five logical qubits. [2000004, 2000005]
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• CUDA‑Q Logical framework is paired with IQM’s Halocene QEC stack, providing cross‑vendor logical resource estimates for up to five logical qubits. [2000004, 2000005]
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• NSF allocates $4 M to UCLA consortium aiming for a trapped‑ion processor with ~60 logical qubits, targeting fault‑tolerant testbed. [2000004]
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• NSF allocates $4 M to UCLA consortium aiming for a trapped‑ion processor with ~60 logical qubits, targeting fault‑tolerant testbed. [2000004]
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• Floquet reservoir engineering scheme autonomously creates and protects high‑fidelity entanglement between distant logical qubits via driven dissipation. [2000004]
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• Floquet reservoir engineering scheme autonomously creates and protects high‑fidelity entanglement between distant logical qubits via driven dissipation. [2000004]
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• QuantiSpect 3D CNN reduces parameters threefold, achieves sub‑microsecond latency and up to 1.85× logical error suppression for surface‑code decoding. [#2000004]
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• QuantiSpect 3D CNN reduces parameters threefold, achieves sub‑microsecond latency and up to 1.85× logical error suppression for surface‑code decoding. [#2000004]
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• Sparse Hamiltonian learning using continuous weak measurements scales with connectivity rather than qubit count; demonstrated on an eight‑qubit spin chain (2000004).
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• Sparse Hamiltonian learning using continuous weak measurements scales with connectivity rather than qubit count; demonstrated on an eight‑qubit spin chain (2000004).
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