Quantum Specialists D-Wave and Mastercard Signed a multi-year strategic alliance It aims to accelerate the adoption of quantum computing solutions. As covered by HPC Wire, this partnership aims to develop quantum hybrid applications in the areas of consumer loyalty and rewards, cross-border payments, especially fraud management and money laundering prevention. increase.
Mastercard’s Secure Network — Processed approximately 30% of global debit and credit card transactions in 2020 excluding China — Used for these communications.
It is currently unknown if any quantum communication is prepared for deployment. However, these early states may or may not use existing fiber optic infrastructure, even with the recent leap in establishing quantum networks, such events in the medium to long term. Will lead to a firm placement.
“We are ushering in the next wave of computing. As with the creation of PCs, the advent of the Internet, and the proliferation of smartphones and voice assistants, Quantum has the impact of disrupting a wide range of industries, especially in the financial services sector. We believe in giving, “says Alan Baratz. , CEO of D-Wave. “D-Wave and Mastercard share a common vision of harnessing the power of technology to have a positive impact on business and society. This alliance is an optimized loyalty program, fraud management and financial services. We support that vision by addressing increasingly complex problem sets across applications, such as preventing money laundering in, and ultimately providing quantum innovations that deliver more value to our customers. “
This collaboration leverages D-Wave’s products, both quantum annealing QPUs (quantum processing units) and software-based quantum hybrid solvers.
— This is essentially an abstraction layer that allows developers to program for quantum computers using their existing coding skills. D-Wave’s cloud computing platform, Leap, will be leveraged to deliver these experiences in real time, even to collaborators who do not have locally installed quantum computers.
D-Wave’s approach to quantum computing (only one of many) involves quantum annealing. A particularly good approach to finding optimized solutions to well-defined dataset problems.. Datasets such as Mastercard’s client base—and their transaction history, consumption habits, past credit scores, and other data.
The inherent security of entanglement (two qubits are connected so that they cannot describe one state without knowing the state of the other cubit) also helps in more secure communication.
D-Wave’s latest QPU, Advantage, Expanded 72 qubits into both horizontal and vertical loops.. The company’s next-generation device (codenamed Zephyr) still has an undisclosed number of final qubits. But you can trust that they are over 72.
“People expect a hyper-personalized experience. The unique ability of quantum computing to analyze vast numbers of potential combinations can provide optimal solutions that improve efficiency and provide choices. “More,” said Ken Moore, Mastercard’s Chief Innovation Officer. “In collaboration with D-Wave, we will explore endless applications of quantum computing for practical real-world financial services applications.”
You may ask why we are introducing quantum computing. It’s all related to Quantum’s ability to solve optimization problems that classic computers simply can’t solve. At least not in human life. A stochastic approach to quantum computing results (using the ability of Cubit to represent both 0s and 1s at a particular time) allows the number of variables to be scaled in ways that even the world’s most powerful supercomputers cannot. To Questions such as “What is the most efficient route through all 13 of these stops?” Are naturally quantum.
Good luck to solve them with classic computers.
Taking Moore’s example, you can think about how rewards are usually developed. Through a simple hierarchical system that applies a “universal” approach. Of course, you can increase or decrease the number of tiers to “personalize” your experience while reducing costs. However, businesses need to constantly measure risk at each tier according to the data they collect about consumer habits. Importantly, this does not take into account new clients whose consumption habits are (in theory) much cloudier.
Some clients can’t get all the benefits out of the tier and make them feel like they’re losing something. Others will hit their reward limits and they will also be dissatisfied. This approach means that the optimization always remains in the table. Like the Avengers Thanos blade, there is a way to achieve a “perfectly balanced” finale.
Let’s be clear. Companies want to maintain customer loyalty, but always try to do so at the lowest possible cost. It’s a good business. Applying quantum computing to optimization problems, such as creating a personalized reward mechanism that fully considers all relevant customer variables, is the gold jar at the end of the saying rainbow. Companies keep costs down. Customers value at every stage. It’s a mutually beneficial situation-at least on paper.
Unless quantum mechanics is applied to the customer’s money, as in the case of the bankruptcy of the “DeFi” lender Celsius Network, everything will be fine.
Schrodinger’s cash is all just as good unless its value proves to be zero.
