Applied mathematician and quantum computing researcher designing hardware-adaptive quantum algorithms across energy, finance, security and engineering.
I'm Aditi Lal, an applied mathematician working at the frontier of quantum computing. As a Quantum Computing Developer at BQP, I serve as a key mathematical researcher on the R&D team developing algorithms such as Quantum Monte Carlo for Uncertainty Quantification in collaboration with IBM, IonQ, Classiq and Haiqu, while contributing mathematical insight to projects spanning QML, QIEO and VQLS.
My work bridges rigorous mathematics with real-world impact, from energy-grid forecasting and multi-renewable optimization to post-quantum cryptography, financial-fraud detection and physics-informed surrogate modeling, alongside training over 50,000 learners across India's quantum ecosystem under the National Quantum Mission, and 5,000+ trainers at multiple colleges across India, with more than 2,000 at IIT Delhi and IIT Hyderabad alone.
The full stack I work across, from quantum frameworks to mathematical computation and productivity tooling.
A trajectory across quantum research, post-quantum security, machine learning and education.
Hands-on work spanning post-quantum cryptography, quantum-inspired optimization, quantum machine learning, quantum networking and applied research challenges.
Developed PQC-based authentication modules for cloud applications and implemented secure key exchange protocols using Kyber KEM, enabling hybrid quantum-safe communication frameworks.
Built and executed test suites for Kyber, Dilithium and Falcon to assess cryptographic strength and runtime efficiency; analyzed vulnerabilities and performance trade-offs for secure deployment readiness.
Worked on Multi-Renewable Energy Optimization using a Quantum-Inspired Evolutionary Algorithm (QIEA) to optimize the right energy resource usage for any given geography.
Worked with a team of 5 to design a method to defend against poisoning and inference attacks, thereby reducing model degradation and inference accuracy loss by 4–8 percent compared to standard differential privacy mechanisms.
Submitted a report on the usage of quantum algorithms to cater to the United Nations Sustainable Development Goals (SDGs) at the Open Quantum Institute Idea Challenge.
Designed and implemented quantum key distribution and message encryption using Cirq in Python; co-authored a detailed report on QKD protocol security, eavesdropping impact, and the future significance of quantum encryption.
Created a simulator object and designed a model on Cirq to replicate the double slit experiment in the quantum space.
Worked on various basic concepts while exploring Hamiltonian, Euclidean and other types of graphs and the problems associated with them.
Peer-reviewed publication first, followed by preprint, conference acceptances, and a media feature.
From quantum challenge finals to national-level debate and speech honours.
Reading mathematical literature, watching thriller action series and movies, and cooking.
Open to research collaborations, speaking, training and opportunities in quantum computing and applied mathematics.