Investment banks, hedge funds, and asset management firms face one of their greatest computing challenges when it comes to large-scale risk simulations and derivative pricing. Whether looking backward or forward in time to realized and unrealized price scenarios for their trade portfolios, they’re beginning to turn to the natural parallelism of quantum computing to solve computational finance problems.

While the field of quantum computing shows great promise for solving a broad range of problems within financial services, these applications and algorithms will require thousands, if not millions, of qubits. With physical quantum computers of this scale and quality far off, quantum circuit simulation is the best and only way to scale up algorithm and application design in the interim.

With NVIDIA GPUs and cuQuantum, you can accelerate quantum circuit simulation, enabling you to experiment with more qubits (and gate depth) faster than ever before, so you can prepare for tomorrow, today.

• The history of quantum computing and how it has impacted the financial engineering world

• Fundamentals of NVIDIA GPUs and where they shine for quantum computing simulation

• Specifics about the NVIDIA cuQuantum package for state vector and tensor networks

• How to develop quantum-accelerated applications with QODA

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