The quantum computer is still very much in its infancy, but it promises massive computing power the likes of which the world has never seen—advances in medicine, biology, chemistry, and artificial intelligence that were heretofore unimaginable.
For the most part, however, research in quantum computer engineering has focused primarily on the top and bottom layers of the system stack—specifically, the quantum algorithm and quantum chip—leaving a gap between software and hardware.
But researchers from the Netherlands are bridging the gap.
“We present a quantum microarchitecture, QuMA, for a superconducting quantum processor based on the circuit model that bridges the gap between quantum software and quantum hardware,” say the authors of “A Microarchitecture for a Superconducting Quantum Processor” in IEEE Micro.
Hailing from QuTech, Delft University of Technology, Topic Embedded Systems, and the Netherlands Organization for Applied Scientific Research, the researchers propose a flexible architecture that can be used on any quantum computing chip coming down the pike.
“We expect QuMA to spark a new line of research on a flexible and scalable approach to control near-term and future quantum chips,” the authors say.
Quantum accelerator architecture must focus on all the layers
If you need affirmation that your work hits the mark, nothings beats the greatest minds in the field.
One of the authors, Koen Bertels, professor and the head of the Quantum and Computer Engineering department at Delft University of Technology, attended this year’s 45th International Symposium on Computer Architecture in Los Angeles, where he heard famed computer architects and Turing Award winners, John L. Hennessy and David A. Patterson, talk about the new “Golden Age” of computer architecture.
Chief among their conclusions was that quantum processor development will escalate, dwarfing the capabilities of classical processors. They also emphasized the importance of focusing on all layers of the system stack, something Bertels and his colleagues have been doing for years.
In an interview, Bertels stated, “This is what we did for 15 years on FPGAs [field-programmable gate arrays]—from algorithm to VHDL [VHSIC Hardware Description Language] compiler, micro-architecture and chip design. What we are doing on quantum computing is the right thing to do.”
Three key features make QuMA unique
The core of QuMA architecture is conventional but only in the sense that components such as cache, microcode, and ISA are reused. There is a caveat: their behavior is completely different from—and exponentially faster than—the classical ones.
Three key mechanisms are at the core of QuMA:
- A multilevel instruction decoding scheme: A common quantum assembly language is given to the quantum processor. Every QASM instruction is translated into micro-code, which—just like classical micro-code—generates the code specific for a quantum technology taking into account things such as gate times, interconnectedness between qubits, and so on.
- A queue-based event timing control scheme: For the execution of the quantum gates at the analog level—for example, microwaves—the timing must be very precise. De-coherence is one of the main killers of quantum computing and that puts some severe limits on the time one has for execution.
- A codeword-based event control scheme: Every QASM instruction is translated into a series of micro-instructions, and each micro-instruction has a “number” that refers to, for example, the microwave, that needs to be sent to the qubit. That is where the QASM is translated in a quantum computing technology-specific version that can be executed.
The researchers hope to build a highly versatile microarchitecture that can be used on any kind of quantum chip being developed now or in the future.
“Building a quantum control microarchitecture and defining the required QISA can help the design of the control hardware, as well as the quantum software,” the authors say.
Bertels adds, “We want to be able to look at multiple quantum technologies such as semi or superconducting qubits, which is where the specialization can occur. In principle, that is how we can also look at nitrogen-vacancy (NV) centers in diamonds, majoranas [a particle that is its own antiparticle], or ion traps [electric or magnetic fields used to capture charged particles]. For now, and in the context of our collaboration with Intel, we only look at semi and superconducting qubits.”
Their work is funded by the China Scholarship Council, Intel Corporation, an ERC Synergy Grant, and the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via the U.S. Army Research Office grant.
Research related to quantum computing in the Computer Society Digital Library:
- Quantum Imagination
- The Quantum Future of Computation
- The Path to Scalable Distributed Quantum Computing
- A Future with Quantum Machine Learning
- Post-Quantum Cryptography: What Advancements in Quantum Computing Mean for IT Professionals
- A Quantum-Inspired Feature Fusion Method Based on Maximum Fidelity
- Quantum Molecular Dynamics in the Post-Petaflops Era
- Cryptography Standards in Quantum Time: New Wine in an Old Wineskin?