The Quantum Algorithm That Could Make Big Pharma Billions

By Lukas's Lab

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One of the most important applications in all of #quantumcomputing While quantum computers are currently in their infancy, one of the most anticipated applications for them is solving #quantum chemistry problems. From #pharmaceuticals to agriculture to paints and cosmetics and more, these #chemistry simulations have the potential to be revolutionary! Thanks to NVIDIA for sponsoring this video. To try out CUDA-Q (completely for free) check out the links below: https://nvda.ws/3VV0WZC https://bit.ly/CUDA-Q-Notebooks Or, to follow along with my notebook, go here: https://colab.research.google.com/drive/1vPk8w-cFT1Xbh9k-hsg1dmtlXwlkqZVg?usp=sharing Here are some resources about VQE, and other quantum chemistry algorithms: https://quantumcomputing.stackexchange.com/questions/18387/why-exactly-are-variational-algorithms-considered-promising https://quantumcomputing.stackexchange.com/questions/12112/whats-the-point-of-vqe-if-classical-computers-can-solve-for-eigenvalues-easily ht

Tags: quantum, entanglement, quantum mechanics, quantum physics, quantum entanglement, physics, quantum computing, superconducting qubits, non linear, entangled photons, entangled qubits, entangled particles, superposition, quantum superposition, qubit, qubits, quantum computer bit, quantum computer software, coding quantum computers, quantum algorithms