The 10 Properties of Quantum Machine Learning

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.

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Roadmap for 1000 Qubits Fault-tolerant Quantum Computers

How many qubits are needed to out-perform conventional computers, how to protect a quantum computer from the effects of decoherence and how to design more than 1000 qubits fault-tolerant large scale quantum computers, these are the three basic questions we want to deal in this article.  Qubit technologies, qubit quality, qubit count, qubit connectivity and qubit architectures are the five key areas of quantum computing are discussed. Earlier we have

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Quantum Computing with Many World Interpretation Scopes and Challenges

Quantum Computing with Many World Interpretation Scopes and Challenges Many scientist believe that Many World Interpretation (MWI) of quantum mechanics is self-evidently absurd for quantum computing. However, recently, there are many groups of scientist increasingly believing that MWI has the real future in quantum computing, because MWI can provide true quantum parallelism.  Here, I briefly discuss the scopes and challenges of MWI for future quantum computing for exploration into the

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7 Primary Qubit Technologies for Quantum Computing

Here we discussed the advantages and limitations of seven key qubit technologies for designing efficient quantum computing systems. The details of qubit types Superconducting qubits , Quantum dots qubits , Trapped Ion Qubits , Photonic qubits , Defect-based qubits , Topological Qubits , and Nuclear Magnetic Resonance (NMR) are discussed. 

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7 Key Requirements for Quantum Computing

Here, we discussed seven key  requirements for implementing efficient quantum computing systems. The seven key requirements are long coherence time, high scalability, high fault tolerance, ability to initialize qubits, universal quantum gates,  efficient qubit state measurement capability, and faithful transmission of flying qubits.  They are seven guidelines for designing effective quantum computing systems.  Quantum computing is the key technology for future artificial intelligence. In our Compassionate AI Lab, we are

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Quantum Computer with Superconductivity at Room Temperature

Quantum Computer with Superconductivity at Room Temperature Quantum computer with superconductivity at room temperature is going to change the landscape of artificial intelligence. In the earlier article we have discussed quantum computing algorithms for artificial intelligence.  In this article we reviewed the implication of superconductivity at room temperature on quantum computation and its impact on artificial intelligence.    Long coherence time (synchronized), low error rate and high scalability are the three

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Quantum Computing Algorithms for Artificial Intelligence

Quantum Computing Algorithms for Artificial Intelligence Dr. Amit Ray explains the quantum annealing, Quantum Monte Carlo Tree Search, Quantum algorithms for traveling salesman problems, and Quantum algorithms  for gradient descent problems in depth. This tutorial is for the researchers, developers, students and the volunteers of the quantum computing team of the  Sri Amit Ray Compassionate AI Lab. Many of our researchers and students asked me to explain the quantum computing algorithms in a very

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Spin-orbit Coupling Qubits for Quantum Computing and AI

Spin-orbit Coupling Qubits for Quantum Computing and AI Here, Dr. Amit Ray discusses the power, scope, and challenges of Spin-orbit Coupling Qubits for Quantum Computing with Artificial Intelligence in details. Quantum computing for artificial intelligence is one of the key research project of Compassionate AI Lab. We summarize here some of the recent developments on qubits and spin–orbit coupling  for quantum computing.  In digital computing, information is processed as ones and zeros,

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Quantum Computing and Artificial Intelligence

Quantum Computing and Artificial Intelligence Here, Sri Amit Ray discusses the power, scope, and challenges of Quantum Computing and Artificial Intelligence in details. In recent years there has been an explosion of interest in quantum computing and artificial intelligence. Quantum computers with artificial intelligence could revolutionize our society and bring many benefits. Big companies like IBM, Google, Microsoft and Intel are all currently racing to build useful quantum computer systems.

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