Quantum Machine Learning With Python: Using Cirq from Google Research and IBM Qiskit. Santanu Pattanayak
Quantum-Machine-Learning.pdf
ISBN: 9781484265215 | 359 pages | 9 Mb
- Quantum Machine Learning With Python: Using Cirq from Google Research and IBM Qiskit
- Santanu Pattanayak
- Page: 359
- Format: pdf, ePub, fb2, mobi
- ISBN: 9781484265215
- Publisher: Apress
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Quantum Machine Learning With Python. Using Cirq from Google Research and IBM Qiskit. 0bookmark. 03/2021publication date. 314pages. Apresspublisher.
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Quantum Software in 2021: What it is & How it works - AI Multiple
A quantum simulator is an implementation of quantum gates by using the use of classic programming languages, such as Python, or quantum D-Wave-Ocean; Rigetti- Forest; IBM- Qiskit; Google- Cirq; Microsoft- QDK conferences on artificial intelligence and machine learning. Data science · Fintech.
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Learn about possible business use cases for quantum. Primarily researchers working in quantum physics, though advances in quantum such as artificial intelligence (AI) and machine learning (ML). Offerings are available from IBM Q (via Qiskit), while Google has introduced the Cirq framework,
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Machine Learning and Beyond. Elıas F. Free online access to quantum simulators (up to 32 qubits) and actual Ocean: python library for quantum annealing Image credits: Graphic by C. Bickle/Science data by Gabriel Popkin. 11 / 30 Qiskit (IBM). • Cirq (Google) Using rotation gates to generate one-qubit gates.
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