Algoritha

Quantum Computing Research

Exploring quantum algorithms and hardware advancements with practical applications for the next decade of computing.

Abstract Get the Paper

Quantum Algorithms

Developing novel algorithms for quantum advantage in optimization problems and cryptography.

Quantum Hardware

Advancing superconductor and photonic device architectures for scalable qubit systems.

Applications

Applications in drug discovery, logistics, and financial modeling using quantum simulations.

Abstract

This study investigates hybrid quantum-classical algorithms optimized for near-term quantum computers. We demonstrate a 22% performance improvement in combinatorial optimization problems compared to classical benchmarks. Special attention is given to error correction techniques and coherence time improvements in superconductor-based qubit designs.

Researchers

Dr. Emily Zhang, Prof. Robert Thompson, Ph.D.

Date

July 2025

Citations

42+ academic papers

Key Findings

  • 82% success rate in benchmark quantum optimization problems
  • Quantum advantage demonstrated in 128 qubit simulations
  • 50% reduction in simulation runtime using new variational approaches

Methodology

  1. 01 Developed variational quantum optimization algorithms for Noisy Intermediate-Scale Quantum devices
  2. 02 Conducted 1200+ benchmark tests on simulated quantum hardware
  3. 03 Measured entanglement fidelity and error correction metrics against classical equivalents

Research Visual

Quantum optimization performance comparison against classical computing approaches on standard benchmark problems.

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