Quantum Research Scientist - Quantum AI

About QPIAI India Pvt. Ltd.

QPIAI India Pvt. Ltd. is a next-generation technology company focused on Artificial Intelligence, Quantum Computing, and advanced IT innovation. As we expand our global footprint into Dubai, Singapore, and other key technology hubs, we continue to build solutions that push the boundaries of intelligent and quantum-enabled systems.

At QPIAI, we believe that great ideas grow in the right environment. Our culture is built on flexibility, collaboration, and continuous learning, supported by a 5-day workweek and a strong commitment to employee well-being and work–life balance. We provide a workplace that encourages creativity, fosters professional growth, and empowers people to take ownership of impactful projects.

We are proud to be a company where innovation meets opportunity—where passionate professionals come together to solve complex challenges and shape the future of technology. With our rapid expansion across India, Dubai, and Singapore, we are actively looking for individuals who share our mission and vision.

If you are driven by curiosity, inspired by cutting-edge technologies, and eager to contribute to a global tech journey, QPIAI is the place to grow, lead, and make a meaningful impact.

Quantum Research Scientist - Quantum AI

QpiAI | Research & Algorithms

QpiAI is looking for a Quantum Research Scientist to develop quantum information driven AI methods, hybrid learning algorithms, and deployable research prototypes for enterprise and scientific applications.

Core Responsibilities

• Develop proprietary Quantum AI algorithms grounded in quantum information theory, quantum statistical learning, and hybrid quantum-classical computation.
• Design learning models based on quantum states, measurements, channels, embeddings, information geometry, and variational principles.
• Build quantum AI methods for classification, regression, generative modeling, representation learning, optimization, scientific ML, and decision intelligence.
• Analyze trainability, expressivity, entanglement structure, generalization, noise sensitivity, and advantage conditions of quantum learning models.
• Develop hardware-aware research prototypes with noise modeling, error mitigation, shot-efficient training, measurement optimization, and resource-aware execution.
• Collaborate with AI, quantum software, hardware, and application teams to translate research into reusable product modules.
• Create patents, publications, invention disclosures, benchmarks, and technical reports.

Required Skills

• Strong foundations in quantum information, quantum mechanics, linear algebra, probability, optimization, and machine learning.
• Ability to work with density matrices, entropy, mutual information, fidelity, trace distance, entanglement, quantum Fisher information, POVMs, and quantum channels.
• Experience developing variational quantum learning models, quantum kernels, quantum generative models, and quantum-inspired AI methods.
• Strong programming ability in Python and practical experience with AI/ML and open-source quantum software frameworks.
• Understanding of NISQ constraints, open-system effects, noise-aware training, and benchmarking methodology.
• Ability to convert enterprise or scientific problems into rigorous quantum AI research formulations.

Qualifications

• MS/Ph.D. in Physics, Quantum Information, Computer Science, Mathematics, Electrical Engineering, AI/ML, or a related field.
• 2+ years of research experience in quantum algorithms, quantum AI, quantum machine learning, scientific AI, or quantum simulation.
• Strong record demonstrated through publications, patents, open-source contributions, research prototypes, or applied projects.
• Excellent technical communication, collaboration, and mentoring skills.