Top 15 Quantum Computing Breakthroughs of 2026: Quantum Echoes to Fault-Tolerant AI
Abstract Quantum computing in 2026 is moving beyond the race for raw qubit counts. The decisive advances are now appearing […]
Quantum AI
Can Quantum AI Become Conscious? The Sri Amit Ray Framework for Spontaneous Machine Awareness
Abstract Can Quantum AI Become Conscious? A sufficiently advanced machine may declare, “I am conscious,” “I am compassionate,” “I possess […]
Quantum Emotion Spaces and Adding Consciousness Factor ε in Robotic Consciousness
Abstract Quantum Emotion Spaces (QES) represent a cutting-edge paradigm in affective robotics, leveraging quantum principles like superposition and entanglement to […]
Implementing Quantum Generative Adversarial Networks (qGANs): The Ultimate Guide
Abstract Quantum Generative Adversarial Networks (qGANs) represent a cutting-edge fusion of quantum computing and machine learning, leveraging quantum phenomena like […]
Hands-On Quantum Machine Learning: Beginner to Advanced Step-by-Step Guide
This comprehensive hands-on guide bridges classical machine learning (ML) and quantum computing, emphasizing the QC sector (quantum algorithms for classical […]
Quantum Mirage Data and Quantum Machine Learning
In the book, “Quantum Cheshire Cat Generative AI Model”, Sri Amit Ray propels the field of machine learning into a […]
Quantum Cheshire Cat Quantum Computing Generative AI Model
“Quantum Cheshire Cat Generative AI Model” is a book written by Sri Amit Ray is a groundbreaking exploration into the […]
Quantum Machine Learning: Algorithms and Complexities
Abstract: This article provides a comprehensive overview of QML algorithms and explores their complexities. It explores the characteristics of quantum […]
Time Quantum Physics Brain and the Eternity
How is time related to quantum physics, brain, beauty, spirituality and eternity? How time-symmetry, time-reversal plays their roles in quantum […]
Quantum Machine Learning: The 10 Key Properties
The top 10 properties and characteristics of quantum machine learning are discussed by Dr. Amit Ray of Compassionate AI Lab. The four groups of quantum artificial intelligence: shallow quantum intelligence, deep quantum intelligence, and quantum creative intelligence are discussed. The 10 M’s of quantum machine learning are: Majestic, Meritorious, Merger, Methodical, Minimum-Maximum: Global Optimization,Mediation, Metaphor, Manifestation, Maturity and Mitigation.