Hi, I'm Junaid Akhter.
Building ventures at the frontier of deep technology.
As COO at Chinar Quantum AI, I lead operational strategy, align multidisciplinary teams, and build strategic partnerships that help CQAI scale its programs, execution, and global impact.
Building ventures at the frontier of deep technology.
From post-quantum cryptography to autonomous maritime systems — I lead initiatives that redefine what's possible, and advise institutions ready to do the same.
I hold affiliations with leading academic institutions, research centers, and high-performance computing facilities advancing Quantum AI.
Consulting Services
Bespoke engagements for governments, enterprises, and research institutions navigating technology transitions with no clear roadmap. No retainer packages, no generic decks.
Academic
Research Experience
I have been part of multiple academic projects applying computational skills in Python, Julia, and R across advanced research problems at the frontier of physics and quantum computing.
See all workAstrophysics
Computational modeling of stellar phenomena and large-scale cosmic structure, processing astronomical datasets to extract physical insights.
Tensor Networks
Developing tensor network algorithms for efficient representation and contraction of high-dimensional quantum states and operators.
Physics-Informed ML
Embedding physical laws and symmetry constraints directly into neural architectures for physically consistent and data-efficient predictions.
Multi-Objective Optimization
Designing algorithms that navigate trade-offs across competing objectives in complex, high-dimensional quantum and classical parameter spaces.
Quantum Reservoir Computing
Exploiting natural quantum dynamics as high-dimensional reservoirs for temporal sequence learning and nonlinear signal processing.
Quantum Machine Learning
Constructing hybrid quantum-classical models that leverage quantum feature spaces and entanglement for enhanced learning capabilities.