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Younger generations are blamed for the pandemic's spread, but also face the brunt of the transmission risk that comes with keeping the economy going. 6 MINUTE READ BY REBECCA RENNER PUBLISHED SEPTEMBER 17, 2020 WHEN PARAMEDICS RUSHED the pregnant Honduran woman into the emergency room, 28-year-old Chuan-Jay Jeffrey Chen stood ready to receive her. It was April, and the pandemic had already taken over his final year as an emergency medicine resident. Of all the coronavirus patients surging into Massachusetts General Hospital in Boston, this 32-year-old patient remains Chen's most memorable. The woman was so short of breath she could barely speak, so Chen would need to intubate her-a tricky procedure that requires precision as well as speed. Every moment without oxygen causes a patient's chances of survival to decline; pregnancy further complicates the scenario by making airways swollen, causing blood pressure to drop more quickly. As Chen set to work and talked her through the steps in Spanish, he also tried to calm his own nerves. "I knew I had very little margin for error," says Chen. The woman's husband had been barred from entering the building because of coronavirus restrictionsgen-z

"With the political-economic road to an ecological civilization seemingly blocked for now, too many of our allies are following detour signs toward dubious industrial and post-industrial fixes."

The starting point is to note that, for people to be held responsible for their actions, they have to know about certain features of the world. In many cases, even this minimal condition for blameworthiness isn't satisfied. For example, Chow would have struggled to predict that the rise of ridesharing apps would crater the market for taxi medallions in New York City - but so, too, did most of us. By their very nature, technological disruptions are difficult to foresee; if they were easy to predict, early investors in these technologies wouldn't get so rich. Such a low bar for blameworthiness seems too harsh to be plausible; how can any of us be blamed for failing to spot trends that almost no one was able to see, despite the significant material incentives for doing so?

The IBM Quantum team envisions a future where quantum computers interact frictionlessly with high performance computing resources, taking over for the specific problems where quantum can offer a computational advantage. Pushing the envelope of classical computing is crucial to this goal, especially as we develop new quantum algorithms and try to understand which problems are worth tackling with a quantum computer.