January 21, 2025 at 10:55 PM
Tensor networks from quantum physics are revolutionizing classical ML: enabling efficient compression, privacy through gauge freedom, and interpretability via quantum information metrics. Bridges quantum & classical computing paradigms.
#TensorNetworks #QuantumInspired #MachineLearning
#TensorNetworks #QuantumInspired #MachineLearning
Quantum-Inspired Tensor Networks for Classical Machine Learning
iq.fp2.dev
April 19, 2026 at 2:54 AM
Tensor networks from quantum physics are revolutionizing classical ML: enabling efficient compression, privacy through gauge freedom, and interpretability via quantum information metrics. Bridges quantum & classical computing paradigms.
#TensorNetworks #QuantumInspired #MachineLearning
#TensorNetworks #QuantumInspired #MachineLearning
QHap reformulates haplotype phasing as a Max-Cut problem solved via GPU-accelerated ballistic simulated bifurcation, achieving 4–20× speedup over HapCUT2/WhatsHap with zero switch error on MHC region across CycloneSEQ, HiFi, and ONT platforms.
#QuantumInspired #HaplotypePhasing #Bioinformatics
#QuantumInspired #HaplotypePhasing #Bioinformatics
QHap: GPU-Accelerated Quantum-Inspired Haplotype Phasing via Max-Cut Optimization
iq.fp2.dev
March 30, 2026 at 2:27 PM
QHap reformulates haplotype phasing as a Max-Cut problem solved via GPU-accelerated ballistic simulated bifurcation, achieving 4–20× speedup over HapCUT2/WhatsHap with zero switch error on MHC region across CycloneSEQ, HiFi, and ONT platforms.
#QuantumInspired #HaplotypePhasing #Bioinformatics
#QuantumInspired #HaplotypePhasing #Bioinformatics
Classical algorithm using quantum-inspired Walsh/Pauli correlation encoding solves MaxCut with high approximation ratios (0.92–0.99) using only 0.3% of the full Walsh space, outperforming traditional baselines with significantly faster runtime.
#QuantumInspired #Optimization #MaxCut
#QuantumInspired #Optimization #MaxCut
Quantum-Inspired Sparse Walsh Encoding for MaxCut Optimization
arxiv.org
September 9, 2026 at 8:15 AM
Classical algorithm using quantum-inspired Walsh/Pauli correlation encoding solves MaxCut with high approximation ratios (0.92–0.99) using only 0.3% of the full Walsh space, outperforming traditional baselines with significantly faster runtime.
#QuantumInspired #Optimization #MaxCut
#QuantumInspired #Optimization #MaxCut
Multiverse Computing's CompactifAI enables ~90% AI model compression with minimal 2-3% accuracy loss using quantum-inspired tensor network techniques, addressing Japan's energy and infrastructure challenges.
#QuantumInspired #AIOptimization #News
#QuantumInspired #AIOptimization #News
Multiverse Computing Partners with Marubeni for CompactifAI Deployment in Japan
multiversecomputing.com
August 15, 2026 at 7:59 AM
Multiverse Computing's CompactifAI enables ~90% AI model compression with minimal 2-3% accuracy loss using quantum-inspired tensor network techniques, addressing Japan's energy and infrastructure challenges.
#QuantumInspired #AIOptimization #News
#QuantumInspired #AIOptimization #News
Multiverse's CompactifAI App enables advanced AI models to run locally on mobile devices with up to 95% compression and only 2-3% accuracy loss, eliminating cloud dependency for offline AI in privacy-sensitive sectors.
#QuantumInspired #EdgeAI #AICompression
#QuantumInspired #EdgeAI #AICompression
Multiverse Computing Launches CompactifAI App for On-Device AI Inference
multiversecomputing.com
August 15, 2026 at 8:13 AM
Multiverse's CompactifAI App enables advanced AI models to run locally on mobile devices with up to 95% compression and only 2-3% accuracy loss, eliminating cloud dependency for offline AI in privacy-sensitive sectors.
#QuantumInspired #EdgeAI #AICompression
#QuantumInspired #EdgeAI #AICompression
Multiverse Computing's CompactifAI uses quantum physics-inspired tensor networks to compress AI models 80-95% without accuracy loss, enabling full-performance deployment on smartphones and edge devices without cloud reliance.
#QuantumInspired #EdgeAI #News
#QuantumInspired #EdgeAI #News
Multiverse Computing Secures $570M Series C for Quantum-Inspired AI Compression
quantumzeitgeist.com
July 27, 2026 at 9:40 AM
Multiverse Computing's CompactifAI uses quantum physics-inspired tensor networks to compress AI models 80-95% without accuracy loss, enabling full-performance deployment on smartphones and edge devices without cloud reliance.
#QuantumInspired #EdgeAI #News
#QuantumInspired #EdgeAI #News
Researchers released a quantum‑inspired K‑means algorithm (arXiv v2, September 2025) that outperforms classical K‑means, achieving higher Adjusted Rand Index scores on Iris and MNIST. https://getnews.me/quantum-inspired-k-means-improves-clustering-accuracy/ #quantuminspired #kmeans
September 26, 2025 at 10:38 PM
Researchers released a quantum‑inspired K‑means algorithm (arXiv v2, September 2025) that outperforms classical K‑means, achieving higher Adjusted Rand Index scores on Iris and MNIST. https://getnews.me/quantum-inspired-k-means-improves-clustering-accuracy/ #quantuminspired #kmeans
A quantum‑inspired RL method uses PEPS fidelity rewards with PPO to boost reasoning coherence, achieving higher scores on GSM8K, StrategyQA and EntailmentBank. Read more: https://getnews.me/peps-quantum-inspired-rl-boosts-reasoning-coherence-in-llms/ #quantuminspired #llm #reasoningcoherence
September 26, 2025 at 7:58 PM
A quantum‑inspired RL method uses PEPS fidelity rewards with PPO to boost reasoning coherence, achieving higher scores on GSM8K, StrategyQA and EntailmentBank. Read more: https://getnews.me/peps-quantum-inspired-rl-boosts-reasoning-coherence-in-llms/ #quantuminspired #llm #reasoningcoherence
A quantum‑inspired stacked model achieved an out‑of‑fold F1 score of 0.8933 and AUC of 0.8699 on the PIMA Indians Diabetes dataset, running at ~8.5 rows per second on CPU. Read more: https://getnews.me/quantum-inspired-stacked-model-boosts-diabetes-risk-prediction/ #quantuminspired #diabetes
September 18, 2025 at 4:09 AM
A quantum‑inspired stacked model achieved an out‑of‑fold F1 score of 0.8933 and AUC of 0.8699 on the PIMA Indians Diabetes dataset, running at ~8.5 rows per second on CPU. Read more: https://getnews.me/quantum-inspired-stacked-model-boosts-diabetes-risk-prediction/ #quantuminspired #diabetes
UCLA and UC Riverside engineers built a room‑temperature computer with coupled oscillators made from charge‑density‑wave material (tantalum sulfide), promising low‑power optimization. https://getnews.me/ucla-engineers-demonstrate-room-temperature-quantum-inspired-computer/ #quantuminspired #ucla
September 5, 2025 at 2:46 AM
UCLA and UC Riverside engineers built a room‑temperature computer with coupled oscillators made from charge‑density‑wave material (tantalum sulfide), promising low‑power optimization. https://getnews.me/ucla-engineers-demonstrate-room-temperature-quantum-inspired-computer/ #quantuminspired #ucla
Symmetries in classical dynamical systems enable quantum-inspired parallelism for multiple simultaneous computations without quantum superposition. Demonstrated in relaxed Ising machines for Boolean functions and arithmetic operations.
#QuantumInspired #ParallelComputing #Research
#QuantumInspired #ParallelComputing #Research
Symmetry-Induced Parallelism in Classical Dynamical Ising Machines
arxiv.org
May 7, 2026 at 11:04 AM
Symmetries in classical dynamical systems enable quantum-inspired parallelism for multiple simultaneous computations without quantum superposition. Demonstrated in relaxed Ising machines for Boolean functions and arithmetic operations.
#QuantumInspired #ParallelComputing #Research
#QuantumInspired #ParallelComputing #Research
Quantum-inspired tensor networks achieve 99% accuracy on SAR imagery while enabling 75% lossless model compression, with built-in robustness to poisoning attacks and explainability through entanglement-based feature importance.
#TensorNetworks #QuantumInspired #SAR
#TensorNetworks #QuantumInspired #SAR
Quantum-Inspired Tensor Networks for Robust SAR Object Classification
iq.fp2.dev
April 29, 2026 at 3:31 AM
Quantum-inspired tensor networks achieve 99% accuracy on SAR imagery while enabling 75% lossless model compression, with built-in robustness to poisoning attacks and explainability through entanglement-based feature importance.
#TensorNetworks #QuantumInspired #SAR
#TensorNetworks #QuantumInspired #SAR
Quantum-inspired tensor networks achieve 9-fold compression in simulating high-Rayleigh turbulent convection with <2% error at Ra=10^10, enabling exploration of extreme turbulence regimes inaccessible to conventional numerical methods.
#QuantumInspired #TensorNetworks #CFD
#QuantumInspired #TensorNetworks #CFD
Quantum-Inspired Simulation of 2D Turbulent Rayleigh-Bénard Convection
iq.fp2.dev
April 20, 2026 at 2:15 AM
Quantum-inspired tensor networks achieve 9-fold compression in simulating high-Rayleigh turbulent convection with <2% error at Ra=10^10, enabling exploration of extreme turbulence regimes inaccessible to conventional numerical methods.
#QuantumInspired #TensorNetworks #CFD
#QuantumInspired #TensorNetworks #CFD
LogQ algorithm reformulated as classical nonlinear continuous relaxation, eliminating quantum measurement overhead while maintaining optimization efficiency for industrial QUBO problems.
#QuantumOptimization #QUBO #QuantumInspired
#QuantumOptimization #QUBO #QuantumInspired
LogQ Algorithm: Quantum-Inspired Classical Optimization for QUBO Problems
iq.fp2.dev
April 15, 2026 at 12:46 PM
LogQ algorithm reformulated as classical nonlinear continuous relaxation, eliminating quantum measurement overhead while maintaining optimization efficiency for industrial QUBO problems.
#QuantumOptimization #QUBO #QuantumInspired
#QuantumOptimization #QUBO #QuantumInspired
E-MVL's sparsity control mechanism digitally mimics spin dynamics, solving the Sherrington-Kirkpatrick model at 1600 spins—4x beyond simulated annealing's limit—with 6x speedup on FPGA. Broader NP-hard generalization remains unproven.
#QuantumInspired #CombinatorialOptimisation #FPGA
#QuantumInspired #CombinatorialOptimisation #FPGA
E-MVL: Quantum-Inspired Algorithm Solves Spin Optimization at 1600 Spins with 6x FPGA Speedup
iq.fp2.dev
April 14, 2026 at 8:54 AM
E-MVL's sparsity control mechanism digitally mimics spin dynamics, solving the Sherrington-Kirkpatrick model at 1600 spins—4x beyond simulated annealing's limit—with 6x speedup on FPGA. Broader NP-hard generalization remains unproven.
#QuantumInspired #CombinatorialOptimisation #FPGA
#QuantumInspired #CombinatorialOptimisation #FPGA
QWIO-JPEG replaces JPEG's static quantization table with a quantum-walk-inspired optimizer, achieving 3–10 dB PSNR gains across MNIST, CIFAR-10, ImageNet, and medical imaging datasets while maintaining full standard decoder compatibility.
#QuantumInspired #ImageCompression #Research
#QuantumInspired #ImageCompression #Research
Quantum Walk Inspired Adaptive JPEG Compression
iq.fp2.dev
March 28, 2026 at 10:52 PM
QWIO-JPEG replaces JPEG's static quantization table with a quantum-walk-inspired optimizer, achieving 3–10 dB PSNR gains across MNIST, CIFAR-10, ImageNet, and medical imaging datasets while maintaining full standard decoder compatibility.
#QuantumInspired #ImageCompression #Research
#QuantumInspired #ImageCompression #Research
QIVNOM runs on classical edge-cloud hardware to jointly optimize V2V/V2I routing and traffic signals, achieving 57.3ms latency (~20% below best baseline), 96.7% packet delivery, and 11-13% travel time reduction in SUMO/OMNeT++ simulations.
#QuantumInspired #SmartCities #Research
#QuantumInspired #SmartCities #Research
QIVNOM: Quantum-Inspired Joint V2X Communication and Urban Traffic Optimization for Smart Cities
iq.fp2.dev
March 27, 2026 at 3:56 AM
QIVNOM runs on classical edge-cloud hardware to jointly optimize V2V/V2I routing and traffic signals, achieving 57.3ms latency (~20% below best baseline), 96.7% packet delivery, and 11-13% travel time reduction in SUMO/OMNeT++ simulations.
#QuantumInspired #SmartCities #Research
#QuantumInspired #SmartCities #Research
Multiverse Computing Secures $215M to Scale AI Model Compression Technology
Read more:
https://quantumzeitgeist.com/multiverse-computing-secures-215m-to-scale-ai-model-compression-technology/
Read more:
https://quantumzeitgeist.com/multiverse-computing-secures-215m-to-scale-ai-model-compression-technology/
Multiverse Computing Secures $215M To Scale AI Model Compression Technology
Multiverse Computing secured $215 million to expand CompactifAI a technology compressing large language models by up to 95% while maintaining performance This quantuminspired approach utilising Tensor Networks drastically reduces computational demands and costs Compressed models enable AI deployment on diverse hardware from cloud servers to mobile devices unlocking broader accessibility and efficiency gains
quantumzeitgeist.com
June 12, 2025 at 2:25 PM
Multiverse Computing Secures $215M to Scale AI Model Compression Technology
Read more:
https://quantumzeitgeist.com/multiverse-computing-secures-215m-to-scale-ai-model-compression-technology/
Read more:
https://quantumzeitgeist.com/multiverse-computing-secures-215m-to-scale-ai-model-compression-technology/