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Quantum state simulation is a cornerstone of quantum computing, aiming to accurately represent and manipulate the behavior of quantum systems. However, traditional methods of quantum state simulation, such as the Density Matrix Renormalization Group (DMRG) method and the Variational Quantum Eigensolver (VQE), often suf...
DECISION: REJECT ELEMENT: No element survives — pool density ≥90 filter is a lagging, regime-dependent proxy, not a geometric timing edge. It does not align with E8-node/Gods-Clock rhythm logic; it filters by market state, not by entry timing. EXPECTED IMPACT: +1.6pp win rate is within noise for n=1347 (σ≈1.3pp), and t...
As clouds with their higher processing density and wireless interconnectivity operate at gigahertz frequency range, they are more vulnerable to electromagnetic interferences. Interference of this kind has the effect of putting the system at risk, causing crosstalk between the components, and even possibly compromising...
Why Fisher's exact test is least exact where it matters most: achieved size, wasted power, and a routing rule for 2×2 tables William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell. ORCID 0009-0004-0855-7222. Concept DOI (always resolves to the latest published ver...
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When the exact test is least exact, and the χ² default most wrong: achieved size, borrowed power, and a routing rule for R×C tables William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell, Lowell, MA, USA. ORCID 0009-0004-0855-7222. License: MIT for all code; CC BY...
Different methods have been suggested to solve the critical limitations encountered in the Von Neumann architecture: the continuous transfer of data between the memory and the processing units, leading to an increase in energy consumption and latency. This paper presents a digital design of multiply-accumulation (MAC)...
Finance has gone through decades under the guidance of efficient market hypothesis and rational pricing model, but has encountered profound challenges in the face of financial crises and market anomalies: irrational fluctuations in asset prices, herding effects, foam and crashes, exposing the mechanical limitations of...
DS-RangeNet is introduced, a lightweight range image network that processes geometry and material-sensitive intensity in separate streams that handles shallow fusion and weak similarity after separate encoding and progressively stronger alignment during fusion.
Continuous ingestion of high-dimensional telemetry forces predictive networks into a severe space-time trade-off, where conventional outlier rejection algorithms dilute mathematical gradients with benign idle data and induce thermal throttling on local hardware. This study introduces an $\mathcal{O}(d)$ ternary quantiz...
An edge computing-enabled optimal control method is proposed for low-voltage distribution networks organized as distribution transformer clusters (DTCs) that reduces overvoltage occurrences in TQ1 by 81.0% and eliminates undervoltage occurrences under four PV scenarios with SOP-based balancing.
Under the 132 Hz driving tone, the 240 E8 root vectors exhibit a phi‑symmetric eigenvalue flow that simultaneously creates two interlocking sets of topological edge modes on the {5,3,4} hyperbolic lattice. These edge modes lock into a hierarchical cascade where each level amplifies the next by the golden ratio, effecti...
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
Education Innovation
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
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