Goldman, IBM lay out quantum road map for derivatives pricing
Researchers estimate 7,500 logical qubits and 46 million T-gates would be needed to price options
The pricing of derivatives is computationally intensive, and becoming more so as derivatives become more complex. It’s a process that could – and perhaps one day will – be improved using a quantum computer, according to executives at Goldman Sachs and IBM.
Last year, the two firms set out to estimate the quantum computing resources needed to achieve quantum advantage for derivatives pricing. The results of their study were published in mid-December.
Today, financial firms use Monte Carlo
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