How control electronics can help scale quantum computers
by Chris Morrison, Director of Product Marketing at Agile Analog
Benefits and challenges of integrating control electronics within the cryostat
Quantum computing, with its potential to tackle problems way beyond the capabilities of standard computers, has ignited a global scientific and technological race. While the focus often lies on the qubits themselves, the entire hardware and software stack plays a crucial role in enabling quantum operations. Of particular interest to electronic engineers is the control and measurement that sits between the quantum qubits, as well as the software controlling them.
There are several main types of quantum computer that scientists and technology companies are currently developing.
Superconducting quantum computers use superconducting circuits to create qubits. The circuits are cooled to extremely low temperatures, which allows them to maintain their quantum properties. Superconducting quantum computers are relatively mature and can perform a wide range of calculations. However, they are very sensitive to their environment and can be difficult to scale to larger sizes.
Trapped ion quantum computers use trapped ions to create qubits. Ions are atoms that have lost or gained electrons, and they can be trapped in an electromagnetic field. Trapped ion quantum computers are also relatively mature, but they are complex to build and operate.
To read the full article, click here
Related Semiconductor IP
- eUSB2V2.0 Controller + PHY IP
- I/O Library with LVDS in SkyWater 90nm
- 50G PON LDPC Encoder/Decoder
- UALink Controller
- RISC-V Debug & Trace IP
Related Articles
- How eNVM Helps Power Controllers Be Smarter
- Open source in consumer electronics: What, why and how
- How High-Level Synthesis Can Raise the Efficiency of Design Reuse
- How audio processing algorithms help improve sound from small speakers
Latest Articles
- ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design
- COVERT: Trojan Detection in COTS Hardware via Statistical Activation of Microarchitectural Events
- A Reconfigurable Framework for AI-FPGA Agent Integration and Acceleration
- Veri-Sure: A Contract-Aware Multi-Agent Framework with Temporal Tracing and Formal Verification for Correct RTL Code Generation
- FlexLLM: Composable HLS Library for Flexible Hybrid LLM Accelerator Design