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govindhtech
govindhtech @TechGovind70399 · Mar 3
Classiq’s Qmod Quantum Conditionals in Grover’s Algorithm Read more on quantumcomputer.blog/classiqs-qmod-… #Qmod #QuantumAlgorithm #Classiq #quantumcomputing #Hadamard #CNOTgate #Python #superposition #News #Technews #Technology #Technologynews #Technologytrends #Govindhtech @TechGovind70399
Classiq’s High-Level Qmod Language Transforms Quantum Algorithm Design

Quantum computing is moving from experimental prototypes to actual applications, but programming these complicated devices is a major obstacle. With Qmod, a high-level quantum modeling language created to abstract away the low-level difficulties of gate-level implementation and qubit management, Classiq is taking on this problem head-on today. Qmod is being heralded as the “C language moment” for quantum computing since it frees developers to concentrate on the functional purpose of their algorithms rather than the underlying hardware limitations.

Classiq’s Qmod: A Novel Approach to Quantum Programming
For many years, researchers had to manually position each Hadamard and CNOT gate in quantum programming, which was similar to creating assembly code. This is altered by Classiq’s Qmod, which offers a language that supports both traditional high-level programming techniques and novel quantum computing notions.
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govindhtech
govindhtech @TechGovind70399 · Mar 2
SKKU Sungkyunkwan University With Classiq Technologies Read more on quantumcomputer.blog/skku-sungkyunk… #SungkyunkwanUniversity #ClassiqTechnologies #quantumalgorithm #quantumcomputing #quantumgates #quantumcircuits #QuantumInformationScience #News #Technews #Technology #Technologynews #Technologytrends#Govindhtech @TechGovind70399
SKKU Sungkyunkwan University
Sungkyunkwan University’s (SKKU) Quantum Information Research Support Center has formally established a strategic alliance with Classiq Technologies, a world leader in quantum algorithm design and optimization, in a move that is expected to completely transform the talent pool for quantum computing in East Asia. A significant change in South Korea’s quantum strategy is marked by the signature of a Memorandum of Understanding (MoU), which moves the country away from hardware-centric training and toward a more resilient, software-centered ecosystem.
A New Chapter in Quantum Workforce Development
The Quantum Information Research Support Center has been leading the charge to develop Korea’s quantum workforce since its founding in August 2020. Under the direction of Director Yonuk Chong, an SKKU professor of quantum information engineering, the Center has a solid history of working with major hardware companies throughout the world. Cloud-based access to systems
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govindhtech
govindhtech @TechGovind70399 · Feb 28
Sophus Quantum Solver: Transforms Supply Chain Intelligence Read more on quantumcomputer.blog/sophus-quantum… #QuantumSolver #SupplyChain #Quantumalgorithm #Quantumtechnology #News #Technews #Technology #Technologynews #Technologytrends #Govindhtech @TechGovind70399
Sophus Technology Quantum Solver
Sophus Technology Inc. announced a historic advancement in computing power for the global supply chain industry, which is poised to reshape the limits of logistics and industrial efficiency. The company’s next-generation optimization engine, the Sophus Quantum Solver, is expected to solve problems 50–100× quicker than conventional mathematical techniques. To eliminate the “combinatorial explosion” that has long afflicted large-scale industrial modeling, the engine is set for beta release in January 2026 and general availability by the end of the first quarter of 2026.
Overcoming the Industry’s “Unsolvable” Problems
Global supply chain executives have been hampered by a major technology barrier for years. The majority of businesses employ Mixed-Integer Linear Programming (MILP) solvers, which have found it difficult to keep up with the increasing complexity of networks. Currently, a lot of businesses deal with excessive solution times that may last for h
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govindhtech
govindhtech @TechGovind70399 · Jan 5
QAOA beats Classical Methods in Multi Objective Optimization Read more on quantumcomputer.blog/qaoa-beat-meth… #Multiobjectiveoptimization #IBMQuantum #quantumalgorithm #quantumcomputing #News #Technews #Technology #Technologynews #Technologytrends #Govindhtech @TechGovind70399
A Novel Quantum Algorithm Beats Classical Approaches in Multi Objective Optimization

Research suggests that quantum computers may soon be the preferred tool for complicated commercial, finance, and engineering trade-offs. A group of researchers from the Zuse Institute Berlin, Los Alamos National Laboratory, and IBM Quantum have presented a novel method for solving multi objective optimization (MOO), a renowned challenging class of problems in which several conflicting objectives must be balanced at the same time.
The Challenge of Competing Goals
Single-objective decisions are uncommon in the actual world. Implementing the Pareto front, a collection of optimal solutions where no single objective can be enhanced without degrading another, is necessary for many challenges, whether they involve balancing risk versus return in finance or efficiency versus cost in logistics.
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govindhtech
govindhtech @TechGovind70399 · Jan 1
Quantum Homotopy & Future of Nonlinear Quantum Computing Read more on quantumcomputer.blog/quantum-homoto… #QuantumHomotopy #QuantumComputing #quantumalgorithm #Quantumphysics #quantumsimulations #quantumnonlinear #News #Technews #Technology #Technologynews #Technologytrends #Govindhtech @Tec
Quantum Physics: A Novel “Quantum Homotopy” Handles the Challenging Nonlinear Physics Divide

A research team from New York University (NYU) and Los Alamos National Laboratory (LANL) has unveiled a groundbreaking quantum algorithm intended to solve nonlinear partial differential equations (PDEs), one of the most difficult problems in contemporary science, in a development that could redefine the boundaries of computational fluid dynamics.

The new technology, called “Quantum Homotopy,” offers a reliable, comprehensive framework for simulating intricate flow problems that have long eluded both previous quantum techniques and classical supercomputers. Under the direction of Sachin S. Bharadwaj, Balasubramanya Nadiga, Stephan Eidenbenz, and Katepalli R. Sreenivasan, the study represents a substantial shift from theoretical “toy problems” to the rough, nonlinear reality needed for practical scientific and engineering research.
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govindhtech
govindhtech @TechGovind70399 · Dec 15, 2025
Ollivier Ricci Curvature Estimation Using Quantum Algorithms Read more on quantumcomputer.blog/ollivier-ricci… #OllivierRiccicurvatur #quantumalgorithm #quantumgravity #quantumstates #qubits #machinelearning #quantumtechnology #News #Technews #Technology #Technologynews #Technologytrends #Govindhtechd70399
Quantum Algorithm Estimates Ollivier Ricci Curvature with Exponential Speedup on Graph Inputs

A group of academics has created a revolutionary quantum algorithm that can estimate the complex Ollivier-Ricci curvature (ORC) on graph inputs with an exponential speedup over conventional approaches, marking a groundbreaking accomplishment that unites the fields of abstract mathematics and quantum physics. This development opens the door to useful applications that were previously constrained by unaffordable processing costs and marks a significant advancement in computational geometry.

Despite its broad range of applications, Ollivier-Ricci curvature a critical metric of shape in networks and spaces presents a substantial computational difficulty. When measuring the “shape” and local geometric characteristics of discrete spaces, like complex networks and graphs, this metric is crucial.
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