Cryogenic characterization of 28nm FD-SOI ring oscillators with energy efficiency optimization

Abstract

Extensive electrical characterization of ring oscillators (ROs) made in high-$\kappa$ metal gate 28nm Fully-Depleted Silicon-on- Insulator (FD-SOI) technology is presented for a set of temperatures between 296 and 4.3K. First, delay per stage (${\tau }_P$), static current ($I_{STAT}$), and dynamic current ($I_{DYN}$) are analyzed for the case of the increase of threshold voltage ($V_{TH}$) observed at low temperature. Then, the same analysis is performed by compensating $V_{TH}$ to a constant, temperature independent value through forward body-biasing (FBB). Energy efficiency optimization is proposed for different supply voltages ($V_{DD}$) in order to find an optimal operating point combining both high RO frequencies and low power dissipation. We show that the Energy-Delay product ($EDP$) can be significantly reduced at low temperature by applying a forward body bias voltage ($V_{FBB}$). We demonstrate that outstanding performance of RO in terms of speed (${\tau }_P$=37ps) and static power (7nA/stage) can be achieved at 4.3K with $V_{DD}$ reduced down to 0.325V.

References in corpus (7)

• Quantum Computation with Quantum Dots
• A Two Qubit Logic Gate in Silicon
• Interfacing spin qubits in quantum dots and donors - hot, dense and coherent
• A CMOS silicon spin qubit
• Silicon CMOS architecture for a spin-based quantum computer
• Design-oriented Modeling of 28 nm FDSOI CMOS Technology down to 4.2 K for Quantum Computing
• Si CMOS Platform for Quantum Information Processing

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• Scalable on-chip multiplexing of silicon single and double quantum dots
• A Review on Quantum Computing: Qubits, Cryogenic Electronics and Cryogenic MOSFET Physics