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In this episode, Candace Gillhoolley sits down with Harshitta Gandhi, a researcher at the intersection of quantum computing and quantum machine learning. Together, they explore Harshitta Gandhi's journey from her childhood in Delhi—where her passions lay more with theater, singing, and athletics than science—to pursuing a PhD focused on physics-based quantum machine learning at the University of Central Florida.
This conversation delves into how skills from seemingly unrelated pursuits can transfer into quantum research, the mindset shift required to thrive in the field, and the importance of imagination, resilience, and community support. Candace and Harshitta Gandhi also tackle the real-world challenges and opportunities of quantum machine learning, the evolving role of AI, the need for approachability in quantum education, and what it takes to encourage and retain more women in this cutting-edge arena.
Get ready for an episode packed with practical advice, personal stories, and a candid look at the future of quantum technology!
Links00:00 Balancing hobbies with academics
05:24 Importance of mental rigor in sports
09:23 Supportive community and mentors
12:03 Starting the PhD journey
15:17 Encouragement for women in tech
20:15 Studying time series data
22:01 Explaining quantum machine learning
26:38 Discussing different qubit types
29:01 AI assisting with information retention
32:19 Making quantum computing approachable
35:47 Balancing quantity and quality of qubits
38:28 Creating inclusive spaces in tech
43:48 Embracing a versatile skillset
46:23 Making quantum computing approachable
By Candace GillhoolleyIn this episode, Candace Gillhoolley sits down with Harshitta Gandhi, a researcher at the intersection of quantum computing and quantum machine learning. Together, they explore Harshitta Gandhi's journey from her childhood in Delhi—where her passions lay more with theater, singing, and athletics than science—to pursuing a PhD focused on physics-based quantum machine learning at the University of Central Florida.
This conversation delves into how skills from seemingly unrelated pursuits can transfer into quantum research, the mindset shift required to thrive in the field, and the importance of imagination, resilience, and community support. Candace and Harshitta Gandhi also tackle the real-world challenges and opportunities of quantum machine learning, the evolving role of AI, the need for approachability in quantum education, and what it takes to encourage and retain more women in this cutting-edge arena.
Get ready for an episode packed with practical advice, personal stories, and a candid look at the future of quantum technology!
Links00:00 Balancing hobbies with academics
05:24 Importance of mental rigor in sports
09:23 Supportive community and mentors
12:03 Starting the PhD journey
15:17 Encouragement for women in tech
20:15 Studying time series data
22:01 Explaining quantum machine learning
26:38 Discussing different qubit types
29:01 AI assisting with information retention
32:19 Making quantum computing approachable
35:47 Balancing quantity and quality of qubits
38:28 Creating inclusive spaces in tech
43:48 Embracing a versatile skillset
46:23 Making quantum computing approachable