Quantum Computing
Solve Problems with
Quantum Computing
Solve Problems with
Quantum Computing
Introducing Womanium Quantum Solutions Launchpad, your gateway to quantum experts for bespoke solutions. Our talent pool, meticulously curated from the Womanium Quantum Program, encompasses quantum specialists in computing, communication, sensing, machine learning, engineering and beyond.
Unlock opportunities to diversify your quantum portfolio and showcase the transformative value of quantum technology for your company.
WORK WITH QUANTUM LEADERS TO SOLVE THE CHALLENGES OF TOMORROW
PARTNERS + PARTICIPANTS + APPLY
India
Companies
Ideas & Challenges
Experts & Advisors
Countries
In Prizes
Weeks of August
Quantum Future
TODAY
Simulation of Poisson's equation for Nuclear propulsions using Tensor Network based VQA
Improved nuclear engineering simulations with quantum technology
Designing low-cost, minituarized quantum sensing devices, for nuclear applications
Portable and cost-effective device design, suitable for mass production of quantum sensors.
Constructing a computational model of Diamond NV centers informed on HPC-based Density Functional Theory
Study for fault and environmental stress tolerance of Quantum Diamond NV center sensors
Developing large, utility-scale benchmarks for simulating the Lipkin-Meshkov-Glick model of a nucleus on quantum computers to evaluate their practical performance
Applying circuit cutting, stitching, and mid-circuit measurement techniques to optimize Variational Quantum Algorithms by reducing circuit depth
Leveraging AI and machine learning to model and enhance the corrosion resistance of aluminum alloys
Developing quantum computing benchmarks for electron tight-binding models of Majorana systems to enable utility-scale simulations
Optimizing LCU Decompositions for NISQ quantum chemistry algorithms
Significant cost reductions for simulating complex molecules on Quantum Computers
Solving NP-Hard Integer-binary programming model with quantum annealing algorithms
Warehouse optimisation with quantum annealing: 66% faster than classical methods.
Formulating secure QKD protocols, and designing an optimal photonics-based QKD chip for satellites in space
Industry-standard chip design for space-based QKD communication
Using Quantum Neural Networks for predictive maintenance in aircraft construction by detecting defects with enhanced accuracy
Verifying quantum speedup in coupled harmonic oscillator systems through practical implementations using Classiq
Using Quantum Gaussian Regression and Quantum Reservoir Computing to improve energy supply and demand forecasting for electric grids
Simulation of Poisson's equation for Nuclear propulsions using Tensor Network based VQA
Improved nuclear engineering simulations with quantum technology
Designing low-cost, minituarized quantum sensing devices, for nuclear applications
Portable and cost-effective device design, suitable for mass production of quantum sensors.
Constructing a computational model of Diamond NV centers informed on HPC-based Density Functional Theory
Study for fault and environmental stress tolerance of Quantum Diamond NV center sensors
Developing large, utility-scale benchmarks for simulating the Lipkin-Meshkov-Glick model of a nucleus on quantum computers to evaluate their practical performance
Applying circuit cutting, stitching, and mid-circuit measurement techniques to optimize Variational Quantum Algorithms by reducing circuit depth
Leveraging AI and machine learning to model and enhance the corrosion resistance of aluminum alloys
Developing quantum computing benchmarks for electron tight-binding models of Majorana systems to enable utility-scale simulations
Optimizing LCU Decompositions for NISQ quantum chemistry algorithms
Significant cost reductions for simulating complex molecules on Quantum Computers
Solving NP-Hard Integer-binary programming model with quantum annealing algorithms
Warehouse optimisation with quantum annealing: 66% faster than classical methods.
Formulating secure QKD protocols, and designing an optimal photonics-based QKD chip for satellites in space
Industry-standard chip design for space-based QKD communication
Using Quantum Neural Networks for predictive maintenance in aircraft construction by detecting defects with enhanced accuracy
Verifying quantum speedup in coupled harmonic oscillator systems through practical implementations using Classiq
Using Quantum Gaussian Regression and Quantum Reservoir Computing to improve energy supply and demand forecasting for electric grids
Enter the Quantum Industry
Womanium is a not-for-profit organization headquartered in Washington, DC. Womanium works with US government agencies such as ARPA-E, DARPA, NIH, NASA, etc. for women’s advancement in STEM+ Entrepreneurship in domains ranging from Energy, Space, Astronomy, and Telescopes, Computational Neuroscience, Industrial Additive Manufacturing Automation, Transportation to Nuclear Weapons Safety.
