Terra Quantum AG
Lead Researcher - Quantum Machine Learning
Terra Quantum AG, Indiana, Pennsylvania, us, 15705
Lead Researcher – Quantum Machine Learning
Any office - hybrid
The Role The Lead Researcher in Quantum Machine Learning will be a member of Terra Quantum's AI Applied Research team. This team is at the forefront of conducting both fundamental and applied research in the field of quantum machine learning. Although the Lead Researcher will focus on innovating in quantum machine learning, the role involves translating research findings into practical algorithmic software solutions. The Lead Researcher is expected to closely monitor and analyse scientific and industrial trends and needs across short-term, mid-term, and long-term horizons, specifically within the quantum technology and machine learning sectors, to guide the development and implementation of hybrid quantum-classical algorithms.
Responsibilities
Developing quantum machine learning algorithms for different data processing tasks, e.g. time series, routing and planning, image, graph data, or natural language processing
Keeping up with state-of-the-art approaches in quantum machine learning
Analysing parametrised quantum circuits in their capacity to learn via a hybrid quantum-classical optimization loop
Utilizing metrics of, e.g. the Fisher information matrix, the effective dimension, and Fourier terms accessibility for parametrized quantum circuit ansatz analysis
Improving the trainability of parametrised quantum circuits through layerwise batch-entropy regularization and similar techniques
Interpreting and explaining quantum machine learning models. Analysing the flow of information through different architectures of quantum neural networks
Researching and understanding where the quantum brings the benefit to machine learning
Developing data encoding and data processing techniques for different types of quantum computers
Assisting in writing patent draft applications
Writing research papers for scientific journals
Efficient implementation of quantum machine learning algorithms
Executing quantum machine learning algorithms on QPUs, e.g. of QuEra, IonQ, Rigetti, and IBM Q
Adjusting and improving implementation of hybrid quantum neural networks for different QPUs
Exploring and testing the best ways to hybridize classical machine learning solutions with quantum machine learning
Understanding the way to implement an efficient interaction of hardware (CPU, GPU) and software (PyTorch, Pennylane)
Assisting in the development of our quantum machine learning SDK
Optimising, at least theoretically, the code of hybrid quantum-classical machine learning solutions for faster execution
Supporting industry projects implementation
Bringing in novel ideas based on industry needs in time-series, routing and planning, GenAI, and natural language processing tasks
Brainstorming on possibilities of quantum machine learning algorithms applications to our client’s industry problems
Working on finding a theoretical or empirical advantage of using hybrid quantum-classical machine learning in industrial problems
Assisting in writing applied industry research papers for scientific journals
Requirements
PhD in computer science, physics, mathematics, electrical engineering, or equivalent subject is required
Publication record in quantum machine learning, or variational quantum algorithms is required
Advanced expertise in one or more quantum programming languages (Qiskit, Q#, Pennylane, Cirq, Quipper, Scaffold, tket) is required
Advanced experience working with variational quantum algorithms for machine learning is required
Experience working with the classical machine learning algorithms is required
Computational learning theory expertise is optional
Expert knowledge in Python is optional
Expert knowledge in Pytorch and TensorFlow is optional
Experience in programming for GPUs is optional
Experience in working with QPUs is optional
Goal‑oriented, analytical and the ability to work independently
Flexible, proactive, and creative with the ability to work in the team
Highly motivated and resilient with the ability to work interdisciplinary
Proficiency in written and spoken English
Rewards
An opportunity to work with some of the brightest minds in the pioneering field of Quantum Technologies as well as an experienced and progressive Leadership team
Gain knowledge of some of the most cutting‑edge technology developments in science & engineering
A chance to be part of one of Europe’s leading technology firms of the upcoming decades
Welcoming, friendly, and professional colleagues
A personal development plan with clear goals for advancement
Flexible working arrangements
A diverse and supportive atmosphere, where innovation and initiative are encouraged
If you are enthusiastic about positively impacting the world and helping to drive the second quantum revolution, let’s talk!
Company description Quantum technologies have the potential to solve some of the world’s biggest challenges. There have been great advances in all areas of quantum technologies, and new fields of are opened up every day. Hybrid computer systems that combine classic high-performance computing with quantum computers are already being used to develop solutions in sectors such as logistics, healthcare, finance, energy, automotive and aerospace. Quantum mechanical predictions are also used to obtain unprecedented precision in measurements, generate unbreakable codes, and form the basis of impenetrable communication networks. All these developments are happening right now, and they are happening at Terra Quantum.
At Terra Quantum we are building the world’s leading Quantum Technology company. We offer customers world‑class quantum technology expertise organized as “quantum‑as‑a‑service”: hybrid quantum algorithms, quantum compute and quantum enabled security solutions. Through the proprietary quantum cloud, customers have access to a unique technology platform which provides a toolset to solve real‑world challenges in the realms of machine learning, optimization and simulation, today. In 2022, the company closed its Series A financing round with a $75m fundraise.
Our purpose is to pioneer quantum technologies to change the world for good,
Our vision is to lead the quantum revolution and be the trailblazer in technology solutions, shaping a better future for humankind to thrive in, and
Our mission is to unleash the power of quantum tech to deliver meaningful solutions today
Terra Quantum is an equal opportunities employer, committed to diversity, inclusion and employee well‑being.
#J-18808-Ljbffr
The Role The Lead Researcher in Quantum Machine Learning will be a member of Terra Quantum's AI Applied Research team. This team is at the forefront of conducting both fundamental and applied research in the field of quantum machine learning. Although the Lead Researcher will focus on innovating in quantum machine learning, the role involves translating research findings into practical algorithmic software solutions. The Lead Researcher is expected to closely monitor and analyse scientific and industrial trends and needs across short-term, mid-term, and long-term horizons, specifically within the quantum technology and machine learning sectors, to guide the development and implementation of hybrid quantum-classical algorithms.
Responsibilities
Developing quantum machine learning algorithms for different data processing tasks, e.g. time series, routing and planning, image, graph data, or natural language processing
Keeping up with state-of-the-art approaches in quantum machine learning
Analysing parametrised quantum circuits in their capacity to learn via a hybrid quantum-classical optimization loop
Utilizing metrics of, e.g. the Fisher information matrix, the effective dimension, and Fourier terms accessibility for parametrized quantum circuit ansatz analysis
Improving the trainability of parametrised quantum circuits through layerwise batch-entropy regularization and similar techniques
Interpreting and explaining quantum machine learning models. Analysing the flow of information through different architectures of quantum neural networks
Researching and understanding where the quantum brings the benefit to machine learning
Developing data encoding and data processing techniques for different types of quantum computers
Assisting in writing patent draft applications
Writing research papers for scientific journals
Efficient implementation of quantum machine learning algorithms
Executing quantum machine learning algorithms on QPUs, e.g. of QuEra, IonQ, Rigetti, and IBM Q
Adjusting and improving implementation of hybrid quantum neural networks for different QPUs
Exploring and testing the best ways to hybridize classical machine learning solutions with quantum machine learning
Understanding the way to implement an efficient interaction of hardware (CPU, GPU) and software (PyTorch, Pennylane)
Assisting in the development of our quantum machine learning SDK
Optimising, at least theoretically, the code of hybrid quantum-classical machine learning solutions for faster execution
Supporting industry projects implementation
Bringing in novel ideas based on industry needs in time-series, routing and planning, GenAI, and natural language processing tasks
Brainstorming on possibilities of quantum machine learning algorithms applications to our client’s industry problems
Working on finding a theoretical or empirical advantage of using hybrid quantum-classical machine learning in industrial problems
Assisting in writing applied industry research papers for scientific journals
Requirements
PhD in computer science, physics, mathematics, electrical engineering, or equivalent subject is required
Publication record in quantum machine learning, or variational quantum algorithms is required
Advanced expertise in one or more quantum programming languages (Qiskit, Q#, Pennylane, Cirq, Quipper, Scaffold, tket) is required
Advanced experience working with variational quantum algorithms for machine learning is required
Experience working with the classical machine learning algorithms is required
Computational learning theory expertise is optional
Expert knowledge in Python is optional
Expert knowledge in Pytorch and TensorFlow is optional
Experience in programming for GPUs is optional
Experience in working with QPUs is optional
Goal‑oriented, analytical and the ability to work independently
Flexible, proactive, and creative with the ability to work in the team
Highly motivated and resilient with the ability to work interdisciplinary
Proficiency in written and spoken English
Rewards
An opportunity to work with some of the brightest minds in the pioneering field of Quantum Technologies as well as an experienced and progressive Leadership team
Gain knowledge of some of the most cutting‑edge technology developments in science & engineering
A chance to be part of one of Europe’s leading technology firms of the upcoming decades
Welcoming, friendly, and professional colleagues
A personal development plan with clear goals for advancement
Flexible working arrangements
A diverse and supportive atmosphere, where innovation and initiative are encouraged
If you are enthusiastic about positively impacting the world and helping to drive the second quantum revolution, let’s talk!
Company description Quantum technologies have the potential to solve some of the world’s biggest challenges. There have been great advances in all areas of quantum technologies, and new fields of are opened up every day. Hybrid computer systems that combine classic high-performance computing with quantum computers are already being used to develop solutions in sectors such as logistics, healthcare, finance, energy, automotive and aerospace. Quantum mechanical predictions are also used to obtain unprecedented precision in measurements, generate unbreakable codes, and form the basis of impenetrable communication networks. All these developments are happening right now, and they are happening at Terra Quantum.
At Terra Quantum we are building the world’s leading Quantum Technology company. We offer customers world‑class quantum technology expertise organized as “quantum‑as‑a‑service”: hybrid quantum algorithms, quantum compute and quantum enabled security solutions. Through the proprietary quantum cloud, customers have access to a unique technology platform which provides a toolset to solve real‑world challenges in the realms of machine learning, optimization and simulation, today. In 2022, the company closed its Series A financing round with a $75m fundraise.
Our purpose is to pioneer quantum technologies to change the world for good,
Our vision is to lead the quantum revolution and be the trailblazer in technology solutions, shaping a better future for humankind to thrive in, and
Our mission is to unleash the power of quantum tech to deliver meaningful solutions today
Terra Quantum is an equal opportunities employer, committed to diversity, inclusion and employee well‑being.
#J-18808-Ljbffr