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Bringing Quantum Computing to Classical Systems

THROUGH VENTURE.

Quantum information processing has the potential to exponentially accelerate computing, enabling us to solve critical problems that are currently impossible on the world’s best supercomputers. A large-scale quantum computer could revolutionise how we tackle some of the most urgent issues facing our society including climate change, the complexity of disease, and food scarcity.

However, even after decades of research, practical quantum computing remains a distant dream even with an increasing number of physical systems being explored (spin-based, trapped-ion, optical, quantum dot, etc.). Beyond the widely explored engineering problems of noise and scalability currently plaguing quantum hardware, the vastly different speed and execution models of the classical control hardware continue to impede both software and hardware development.

We are developing a new application-driven framework across both the hardware and software layers to bring integrated quantum coprocessing to accelerate existing systems in the next few years. This challenge requires us to expand how we fundamentally think about quantum computers beyond purely an engineering problem. To do this, we’re assembling a founding team with expertise across mathematics, computer science, physics, and hardware engineering to attack the problems from all angles.

Working alongside the interdisciplinary team, you will bring your knowledge and experimental skills to develop the hardware and software required to make quantum computing a reality.

 

who should apply

You bring broad technical knowledge (see below) at a Doctoral level and are comfortable exploring both theoretical and experimental challenges. You’re highly collaborative and able to think creatively to solve problems, not constrained by conventional thinking. You should be entrepreneurial, always asking why, and actively enjoy building a network around the problems and opportunities that you go after.

 

We’re looking for a candidate with experience in the following:

● Quantum computing fundamentals and experience with development on quantum systems at both low-level (quantum algorithms, QML, VQE, QAOA)  and high-level (Q#, Qiskit, QASM, Cirq, etc.)

● Applied mathematics (Graph theory, kernel theory, kernel embeddings, Hilbert spaces)

● Optical communication techniques and extension to quantum systems (Optical interconnects, QKD, teleportation)

● Hardware design and simulation techniques (EDA tools, RTL, VHDL, synthesis)

● Hardware processor architectures (x86, RISC, RISC-V, GPU, FPGA)

● Knowledge of digital and analog signal processing techniques

 

our offer

Taking a Co-founder role at DSV is a fantastic opportunity to develop concepts for, and launch your own startup. Working with us, you’ll have access to the systems and environment to guide your thinking, and we’ll even pay you a monthly salary to start your own company and support you in building the founding team and developing early data to land your first customers and investors. After a 3-6 month period, we will support you in taking the role of CEO or CTO of the company we design together and spin out with a pre-seed investment from DSV.

Compared to other Entrepreneur in Residence programmes, DSV’s is friendly to individuals with no previous founder experience and comes with a commitment from us to support your company to make a real impact in the market.

No prior idea or IP required.

Quantum information processing has the potential to exponentially accelerate computing, enabling us to solve critical problems that are currently impossible on the world’s best supercomputers. A large-scale quantum computer could revolutionise how we tackle some of the most urgent issues facing our society including climate change, the complexity of disease, and food scarcity.

However, even after decades of research, practical quantum computing remains a distant dream even with an increasing number of physical systems being explored (spin-based, trapped-ion, optical, quantum dot, etc.). Beyond the widely explored engineering problems of noise and scalability currently plaguing quantum hardware, the vastly different speed and execution models of the classical control hardware continue to impede both software and hardware development.

We are developing a new application-driven framework across both the hardware and software layers to bring integrated quantum coprocessing to accelerate existing systems in the next few years. This challenge requires us to expand how we fundamentally think about quantum computers beyond purely an engineering problem. To do this, we’re assembling a founding team with expertise across mathematics, computer science, physics, and hardware engineering to attack the problems from all angles.

Working alongside the interdisciplinary team, you will bring your knowledge and experimental skills to develop the hardware and software required to make quantum computing a reality.

 

who should apply

You bring broad technical knowledge (see below) at a Doctoral level and are comfortable exploring both theoretical and experimental challenges. You’re highly collaborative and able to think creatively to solve problems, not constrained by conventional thinking. You should be entrepreneurial, always asking why, and actively enjoy building a network around the problems and opportunities that you go after.

 

We’re looking for a candidate with experience in the following:

● Quantum computing fundamentals and experience with development on quantum systems at both low-level (quantum algorithms, QML, VQE, QAOA)  and high-level (Q#, Qiskit, QASM, Cirq, etc.)

● Applied mathematics (Graph theory, kernel theory, kernel embeddings, Hilbert spaces)

● Optical communication techniques and extension to quantum systems (Optical interconnects, QKD, teleportation)

● Hardware design and simulation techniques (EDA tools, RTL, VHDL, synthesis)

● Hardware processor architectures (x86, RISC, RISC-V, GPU, FPGA)

● Knowledge of digital and analog signal processing techniques

 

our offer

Taking a Co-Founder role at DSV is a fantastic opportunity to develop concepts for, and launch your own startup. Working with us, you’ll have access to the systems and environment to guide your thinking, and we’ll even pay you a monthly salary to start your own company and support you in building the founding team and developing early data to land your first customers and investors. After a 3-6 month period, we will support you in taking the role of CEO or CTO of the company we design together and spin out with a pre-seed investment from DSV.

Compared to other Entrepreneur in Residence programmes, DSV’s is friendly to individuals with no previous founder experience and comes with a commitment from us to support your company to make a real impact in the market.

No prior idea or IP required.

Interviews ongoing

Interviews ongoing

current founders

At DSV Brock is working on accelerated computing hardware that overcomes the limitations and inefficiencies in conventional computing. This currently spans extremely low-power machine learning accelerators, quantum computing, and cybersecurity to protect these systems. His background and experience spans across photonics, device engineering, cybersecurity, mathematics, and distributed networks.